Architect for Tomorrow: Unified Data Protection as the Foundation for Resilience

Punti di forza

Years of reasonable technology decisions can accumulate into operational complexity that makes resilience harder to manage, govern, test, and maintain.
Fragmented tools, policies, workflows, and ownership can create inconsistent recovery models and make business-wide recovery difficult to predict.
Unified data protection can help reduce operational friction by simplifying control and standardizing protection across increasingly diverse environments.
Cyber resilience depends not only on safeguarding individual workloads but also on building security into recovery processes and continuously proving recovery readiness.
As cloud, SaaS, edge, and AI environments expand faster than teams, simplifying resilience architecture becomes increasingly important for reliable, repeatable recovery.

One advantage of having spent part of my career on the operational side of backup and recovery is that I still can’t help looking at resilience through the eyes of the people who have to run it every day.

Years ago, the job was complicated, but it was generally clear. Most critical systems lived within a relatively defined set of boundaries. Protection strategies were comparatively standardized. Recovery planning focused on a known set of applications, databases, and infrastructure. The technology wasn’t simple, but the operating model was understandable.

Today, those boundaries have largely disappeared.

Business processes span SaaS applications, cloud-native services, multiple clouds, edge environments, AI initiatives, and traditional infrastructure. Different teams own different parts of the stack. New technologies arrive faster than old ones are retired. And every addition introduces new dependencies that may not become obvious until something breaks or needs to be recovered.

I recently joined Michael Thelander, Senior Director of Product Marketing at Commvault, for a webinar on how to address this very issue. You can watchUnified Data Protection as the Foundation for Resilience on demand now.

Why Data Protection Keeps Getting Harder

What’s interesting is that most organizations didn’t intentionally design this complexity into their resilience architecture. They accumulated it over time.

Cloud teams adopted native protection capabilities. Application owners implemented processes that made sense for the platforms they supported. Acquisitions brought inherited technologies and operating models. Business units optimized around their own requirements. Most of those decisions were reasonable and, in many cases, necessary. The challenge is that every one of those decisions carried a cost.

There’s the obvious cost of software, infrastructure, and storage. More significant, though, is the operational cost that accumulates quietly over the years. Every new protection method introduces another policy framework to manage, another workflow to document, another exception to troubleshoot, another recovery process to test, and another set of skills the organization must maintain.

Eventually, teams spend as much time managing the complexity surrounding resilience as they do improving resilience itself.

On its own, that might sound like an efficiency problem. But over time, it evolves into a resilience problem. The more moving parts an organization introduces, the harder it becomes to maintain consistency. Recovery procedures evolve differently across teams. Policies drift. Ownership fragments. Knowledge becomes concentrated in a handful of people who understand how everything fits together.

Eventually, the challenge stops being whether individual workloads can be protected and becomes whether the organization can consistently govern, test, and recover across everything it supports. Most organizations understand how individual systems recover. Far fewer can confidently explain how the business recovers.

Unrecent cyber resilience survey found that nearly half of organizations identify IT complexity as their biggest cyber resilience challenge. That finding isn’t particularly surprising. Most enterprises aren’t struggling because they lack protection technologies. In many cases, they have more protection technologies than ever before.

The challenge is understanding how all of those technologies come together when the organization actually needs them.

AI is making this reality even more visible. Models depend on training data, pipelines, infrastructure, repositories, identities, and services that often span multiple teams and environments. Protecting those individual components is one challenge. Recovering the ecosystem they collectively support is another.

That’s one reason Michael and I spent so much time discussing complexity.

On the surface, unified data protection sounds like a conversation about backup architecture. In reality, our discussion centered on a much broader challenge: how organizations reduce the operational burden created by years of accumulated complexity while creating a more consistent foundation for resilience.

Because the goal isn’t consolidation for consolidation’s sake. It’s all about reducing operational friction. Creating consistency where consistency matters. And making recovery more predictable, repeatable, and trustworthy.

From Fragmented Tools to a Unified Foundation

During the webinar, Michael and I explored four practical ways organizations can begin reducing complexity and strengthening resilience: simplifying control, standardizing protection, building cyber resilience directly into the recovery process, and continuously proving recovery readiness.

While the tactics differ, the objective is the same. The less effort organizations spend stitching together fragmented tools, policies, and workflows, the more confidence they can have in their ability to recover when it matters most.

What stayed with me long after the conversation ended was the recognition that resilience has become as much an operational and architectural challenge as a technical one. Organizations are being asked to support more applications, more clouds, more services, more data, and more AI initiatives than ever before. Yet few have the luxury of expanding teams at the same pace. That reality makes simplicity increasingly valuable.

If I were running backup and recovery operations today and I were re-evaluating my organization’s approach, I wouldn’t start by asking whether we have enough protection tools. I’d start by asking how much complexity we’re carrying and what it’s costing us. Because those costs extend far beyond software licenses and infrastructure. They’re reflected in operational effort, fragmented processes, inconsistent recovery models, and ultimately in an organization’s ability to recover when it matters most.

Domande frequenti

Q: Why has data protection become more complex for organizations?R:Business processes now span SaaS applications, cloud-native services, multiple clouds, edge environments, AI initiatives, and traditional infrastructure. As teams adopt different protection methods for these environments, organizations accumulate policies, workflows, skills, and dependencies that increase the operational burden of resilience.
Q: How can technology complexity affect cyber resilience?R:More tools and processes can make it harder to maintain consistent policies, ownership, testing, and recovery procedures across an organization. Over time, this fragmentation can turn what initially appears to be an efficiency challenge into a resilience challenge.
Q: What is unified data protection intended to accomplish?R:Unified data protection is about more than consolidating backup technologies. Its broader purpose is to reduce operational friction, create consistency where it matters, and make recovery more predictable, repeatable, and trustworthy.
Q: What practical steps can organizations take to reduce resilience complexity?R:Organizations can focus on simplifying control, standardizing protection, building cyber resilience directly into recovery processes, and continuously proving recovery readiness. Together, these practices can reduce the effort required to coordinate fragmented tools, policies, and workflows.
Q: Why does AI make resilience complexity more visible?R:AI initiatives can depend on interconnected training data, pipelines, infrastructure, repositories, identities, and services spanning multiple teams and environments. Protecting each component individually does not necessarily address the larger challenge of recovering the complete ecosystem those components support.
Q: What should organizations consider when reevaluating their data protection strategy?R: Rather than starting with whether they have enough protection tools, organizations should examine how much operational complexity they are carrying and what it costs them. That includes the impact of fragmented processes, inconsistent recovery models, administrative effort, and the organization’s overall ability to recover when it matters most.

Jason Gizais Senior Manager, Partner Solutions Marketing, at Commvault.

What Is Recovery Point Objective (RPO)? A Complete Guide

Recovery point objective (RPO) defines how much data your organization can afford to lose after a disruption – and it shapes every backup, replication, and recovery decision you make.

Autore su LinkedIn

Vir Choksi, Principal Product Marketing Manager, Commvault

Pubblicato22 settembre 2026

Recovery point objective (RPO) is the maximum amount of data – measured in time – that your organization can lose after an unplanned disruption and still operate within acceptable limits.

Think of RPO as a data-loss clock: It starts ticking backward from the moment an outage, cyberattack, or human error strikes, and it stops at your last usable backup or replication point. Every second between those two points is data you may never get back.

NISTdefines RPO as “the point in time to which data must be recovered after an outage.” That definition is deceptively simple. In practice, setting the right RPO raises important questions about which workloads matter most, how often you back up, and how much you invest in replication infrastructure.

Cyberattacks, cloud outages, and accidental deletions happen on schedules you do not control. Organizations that define clear RPO targets – and enforce them with automated, policy-driven backup – position themselves to recover within business tolerance instead of scrambling after the fact.

This guide walks you through how RPO works, how it differs from recovery time objective (RTO), what are some real-world examples, calculating RPO, and RPO’s critical role in cyber resilience.

How RPO Works in Business Continuity Planning

RPO is the “data-loss clock” that shapes your backup frequency. If your RPO for a database is one hour, backups should run at least every 60 minutes. Miss that cadence and you may have already exceeded your tolerance before anything goes wrong.

In a business continuity plan, RPO sits alongside RTO as one of two recovery pillars. While RTO answers “How fast can we get systems running again?” RPO answers “How current will the recovered data be?” Both feed into the broader disaster recovery strategy – and both should be validated through regular testing, not just documented in a binder.

RPO can also have a compliance dimension:

Regulations like HIPAA generally expect healthcare organizations to maintain recoverable copies of electronic patient health information.
SOX includes provisions around keeping financial records auditable and intact.
GDPR contemplates that personal data processing should be restorable in a timely manner after a technical incident.

When an attack encrypts production data, the gap between your last clean backup and the encryption timestamp is the data you lose. That gap is your RPO in action – and it helps determine whether recovery takes hours or becomes a crisis.

The practical takeaway: RPO is not a number you set once and forget. It should reflect current data-change rates, compliance mandates, and threat landscape realities – and it should be enforced through automated backup policies.

RPO vs. RTO: What’s the Difference?

RPO and RTO are two sides of the same recovery coin, but they measure different things.

RPO looks backward from the moment of failure. It asks: “How much data can we afford to lose?” The answer is expressed in time – minutes, hours, or days – representing the gap between the last good backup and the disruption.

RTO looks forward from the moment of failure. It asks: “How quickly must systems be back online?” The answer is also expressed in time, but it measures downtime tolerance rather than data-loss tolerance.

Dimension	RPO	RTO
Focus	Data-loss tolerance	Downtime tolerance
Measures	Time since last usable backup	Time to restore service
Direction	Backward-looking (before failure)	Forward-looking (after failure)
Key Question	How much data can we lose?	How long can we be down?
Esempio	1-hour RPO = Backups every hour	4-hour RTO = Systems restored in four hours

Both metrics should be defined together. An organization with a 15-minute RPO but a 24-hour RTO has recent data that sits idle for a full day. Conversely, a four-hour RTO paired with a 24-hour RPO means systems come back quickly – but with stale data.

Aligning RPO and RTO targets before an incident – and validating them through regular disaster recovery testing – can be the difference between a measured response and a scramble.

RPO Tiers and Real-World Examples

Not every workload deserves the same RPO. Tiering your RPOs by business criticality helps keep protection tight where it matters and costs manageable where it does not.

Tier 0: Near-Zero RPO (Seconds to Minutes): Financial transaction databases, electronic patient health records, and real-time trading platforms typically call for continuous data protection (CDP) or synchronous replication. These workloads generate revenue or carry regulatory weight every second, so even minutes of data loss can be difficult to absorb. Organizations implementing near-zero RPO typically use CDP or synchronous replication to help minimize the data loss window.

Tier 1: 1–4 Hours: Customer relationship management (CRM) systems, email platforms, and order processing systems often fall here. Frequent incremental backups – every 15 to 60 minutes – help keep data loss within tolerance. The cost is moderate, and the business impact of losing a few hours of email or CRM updates is generally manageable with manual re-entry.

Tier 2: 4–12 Hours: Internal collaboration tools, development environments, and project management platforms commonly operate in this range. Scheduled backups every 4 to 6 hours can strike a balance between protection and storage costs.

Tier 3: 12– 24 Hours: Marketing analytics archives, historical logs, and reference documentation often tolerate daily cloud backups. Data changes slowly and reconstruction is feasible, making daily backup cadences cost-effective.

Tiering helps organizations invest the most in protecting the workloads where each minute of data loss carries the highest cost, while avoiding overspending on archives that change once a week.

How to Calculate RPO for Your Organization

Calculating RPO is a business exercise first and a technical exercise second. These steps can help set RPOs that reflect reality, not aspiration.

Identify critical data.

Catalog your workloads and classify them by business impact. Ask: If this system were to lose data, what happens to revenue, compliance, and customer trust? The answers help drive your tier assignments.

Assess data change rates.

A database that processes 10,000 transactions per hour typically calls for a tighter RPO than a document repository updated twice a day. Measure actual change rates, not estimates.

Check compliance requirements.

Map each workload to applicable regulatory obligations. HIPAA, SOX, PCI DSS, and GDPR can each include data retention and recoverability requirements that inform RPO.

Evaluate budget and infrastructure.

Near-zero RPO typically involves CDP, synchronous replication, or both – and that infrastructure has a cost. Align your RPO targets with what your budget can sustain.

Set tiered RPOs and automate enforcement.

Assign each workload to an RPO tier, configure backup policies to match, and automate compliance monitoring. An RPO that exists only in a spreadsheet offers limited protection – enforcement should be continuous and policy-driven.

Reviewing and recalibrating quarterly is good practice. Data volumes grow, workloads shift, and threat landscapes evolve – your RPOs should keep pace.

RPO and Cyber Resilience

Ransomware does not care about your backup schedule – but your RPO determines how much leverage attackers have. A tight RPO means less data sits between your last immutable backup and the encryption event, helping reduce the blast radius of an attack.

Cyber resilience depends on more than backup frequency alone. Air-gapped, immutable backup copies help protect against attackers who compromise production environments so that they cannot reach or alter recovery data. When those backups are stored outside the primary cloud account, you add isolation that ransomware simply cannot cross.

This is where Clumio by Commvault fits into your RPO strategy. WithClumio, you store backup data in an isolated, fully managed environment outside your primary AWS account. Granular point-in-time recovery helps you restore to a precise moment before the attack – helping minimize data loss to the RPO you defined. Designed to help you maintain control of your recovery without depending on the same infrastructure the attacker compromised.

Organizations that maintain tight RPOs with immutable, isolated backups can avoid paying ransom because they can recover clean data independently.

The formula is straightforward: Tighter RPO plus immutable, isolated backups generally translates to a smaller attack surface and faster, cleaner recovery. That is the foundation of cyber resilience.

Domande frequenti

What does RPO stand for?

RPO stands for recovery point objective. It defines the maximum acceptable amount of data loss, measured in time, after an unplanned disruption such as a cyberattack, hardware failure, or human error.

What is a good RPO?

A good RPO depends on the workload. Financial and healthcare systems often require near-zero RPOs, while internal tools may tolerate 4 to 12 hours. The right RPO balances business impact, compliance requirements, and budget allowances.

What is the difference between RPO and recovery time objective (RTO)?

RPO measures how much data you can lose, expressed as time since the last backup. RTO measures how long systems can remain offline. RPO looks backward from a failure; RTO looks forward. Both must be defined together in a disaster recovery plan.

Can RPO be zero?

A zero RPO means no data loss whatsoever. Achieving it requires synchronous replication where every write is confirmed on a secondary system before being acknowledged. This is technically possible but can be expensive, so most organizations reserve it for their most critical workloads.

How does RPO affect backup frequency?

RPO directly dictates backup frequency. A one-hour RPO requires backups at least every 60 minutes. A 24-hour RPO allows daily backups. The tighter the RPO, the more frequent the backup or replication cadence must be.

What factors determine RPO?

Key factors include the business criticality of the data, the rate at which data generally changes, applicable regulatory and compliance requirements, available budget for backup infrastructure, and the organization’s overall risk tolerance. Most organizations tier their RPOs based on these factors.

Pianificazione della continuità aziendale nell’era Cloud

A modern business continuity plan starts with protecting your cloud data. Learn the key components, benefits, and best practices for cloud-native business continuity.

Autore su LinkedIn

Vir Choksi, Principal Product Marketing Manager, Commvault

PubblicatoSeptember 21, 2026

Why Continuity Matters

Cloud complexity multiplies the challenge. Most enterprises now operate across multiple cloud providers, each with different security models, backup mechanisms, andshared responsibilityboundaries. Data sprawl across Amazon S3 buckets, DynamoDB tables, and data lakehouse environments creates blind spots. The shared responsibility model means your cloud provider secures the infrastructure, but you own the protection and recoverability of your data.

The business impact of an unplanned disruption goes far beyond downtime. Revenue loss compounds by the minute. Customer trust, once broken, takes months or years to rebuild. Regulatory penalties under frameworks like GDPR, HIPAA, and SOX can reach millions. And reputational damage often outlasts the incident itself.

A well-structured business continuity plan transforms your organization from reactive to resilient. It defines exactly how you will protect critical data, recover operations, and communicate with stakeholders when disruption strikes. Without one, recovery becomes improvisation — and improvisation under pressure rarely ends well.

For a deeper look at recovery capabilities that support business continuity, seeessential disaster recovery capabilities for business continuity management.

Plan Components

A strong cloud business continuity plan is built on interconnected components that work together before, during, and after an incident.

Business Impact Analysis and Risk Assessment

Start with a business impact analysis (BIA) to identify your most critical workloads and quantify the cost of downtime for each. Pair this with a risk assessment that maps threats — ransomware, cloud provider outages, insider errors, compliance failures — to specific data assets. This analysis drives every decision that follows.

RTO/RPO Targets per Workload

Not all data is created equal. Define recovery time objectives (RTO) andrecovery point objectives (RPO)for each workload based on its business criticality. A customer-facing database may need an RPO of minutes, while archived logs may tolerate hours. Tiered targets prevent over-spending on low-priority assets and under-investing in high-priority ones.

Cloud Backup Strategy

Your backup strategy must be automated and policy-driven. Manual processes introduce human error and cannot scale. Define policies that capture changes continuously, store backups in isolated environments, and support granular recovery at the object, prefix, bucket, table, or partition level. Explore yourcloud backup optionsbefore committing to a single approach.

Communication and Escalation Protocols

Document who is responsible for what during an incident. Define escalation paths, notification timelines, and communication channels for internal teams, executives, customers, and regulators. A recovery plan that no one can execute is not a plan at all.

Testing and Maintenance

The most dangerous business continuity plan is one that has never been tested. Schedule recovery drills at least quarterly to validate that your RTO/RPO targets are achievable and your team knows the playbook.

Cloud-Native Benefits

Shifting your business continuity strategy to cloud-native solutions delivers measurable advantages over legacy on-premises approaches.

Scalability without infrastructure overhead. Cloud-native backup scales automatically with your data growth. You do not need to provision additional servers, storage arrays, or backup appliances. As your S3 buckets and databases expand, your protection expands with them.

Cost efficiency. A serverless, SaaS-based approach eliminates capital expenditure on dedicated backup hardware. You pay for the protection you use, and operational costs stay predictable as data volumes increase.

Enhanced security through isolation. Air-gapped, immutable backups stored outside your primary cloud account create a critical layer of defense. If ransomware compromises your production environment, your backup data remains untouched in an isolated vault. This separation is the difference between paying a ransom and restoring your data on your terms.

Rapid, granular recovery. Cloud-native solutions enable targeted recovery — restoring specific objects, prefixes, buckets, tables, or partitions rather than entire environments. This precision reduces recovery time dramatically and minimizes disruption to unaffected workloads.

Multi-cloud resilience. Organizations increasingly operate across AWS, Azure, and Google Cloud. Cloud-native backup solutions support cross-region and cross-account recovery, giving you flexibility to restore data wherever you need it.

The cloud data protection market continues to grow as organizations recognize these advantages. With cloud workloads expanding and threats intensifying, investment in resilience infrastructure is accelerating across industries.For more on howClumio’s cloud-native protection supportsransomware recovery,Esploraourdedicated solution page.

Continuity Best Practices

Effective business continuity planning is not a one-time project — it is an ongoing discipline. These practices help you build and maintain a plan that holds up under real-world pressure.

Conduct regular risk assessments.

The threat landscape shifts constantly. Review your risk profile at least quarterly and update your BIA whenever you add new cloud workloads, change providers, or enter new regulatory jurisdictions.

Define and test your RTO/RPO targets.

Setting targets on paper is step one. Validating them through actual recovery drills is where readiness is built. Test restores against your defined objectives and document gaps. Revisit these targets as business needs evolve.

Adopt a multi-cloud backup strategy.

Do not rely on a single provider’s native tools for backup and recovery. Cross-account and cross-region backup capabilities protect you against account-level compromise and regional outages alike.

Automate backup policies.

Manual backup processes are fragile. Implement policy-driven automation that captures data changes continuously, without relying on scheduled snapshots that can miss critical updates between intervals.

Integrate security into your backup strategy.

Air-gapped storage, immutable backups, role-based access controls, and threat scanning should be standard features of your backup solution — not afterthoughts. Your backup data is a high-value target; protect it accordingly.

Test at least quarterly.

Recovery drills should simulate realistic scenarios, including ransomware events and accidental bulk deletions. Testing reveals where your plan falls short before an actual incident occurs.

Cloud Backup Support

A modern business continuity plan requires purpose-built cloud backup — not legacy tools adapted for cloud environments. Traditional backup solutions were designed for on-premises infrastructure and struggle with the scale, speed, and architecture of cloud-native workloads.

Clumio by Commvaultwas built from the ground up for cloud environments. As a serverless, SaaS-based platform designed for AWS and Google Cloud, Clumio delivers the recovery capabilities that business continuity demands without adding customer-managed infrastructureooperational complexity.

Air-gapped backups. Clumio stores backup data in an immutable, isolated environment completely separate from your production cloud account. This air-gapped architecture means that even if ransomwareoan account compromise affects your primary environment, your backup data stays protected and recoverable.

Granular recovery at scale. Rather than forcing full-environment restores, Clumio enables targeted recovery at the object, prefix, bucket, partition,otable level. When a bad code push corrupts specific data, you recover exactly what was affected — nothing more, nothing less.

Cross-region and cross-account restore. Clumio supports flexible recovery paths, including restoring data to different regionsoaccounts. This capability is critical for disaster scenarios where an entire regionoaccount is compromised.

Clumio Backtrack for point-in-time rollback. Clumio Backtrack allows in-place rollback ofAmazon S3oDynamoDB data to a precise point in time. This is invaluable to help recover data corruptionoaccidental deletion without the delay of traditional restore workflows.

The speed of recovery matters. Purpose-built cloud backup compresses that timeline from weeks to hours —ominutes — transforming business continuity from aspiration into operational reality.

Domande frequenti

What Is a Business Continuity Plan?

A business continuity plan is a documented strategy that outlines how an organization will maintain critical operations during and after a disruption. It covers everything from data protection and recovery procedures to communication protocols and escalation paths. In cloud-first organizations, the plan centers on protecting cloud workloads, defining RTO/RPO targets, and validating recovery through regular testing.

What Is the Difference Between BCP and DRP?

Business continuity planning (BCP) is the broader discipline focused on keeping all critical business functions running during a disruption. Disaster recovery planning (DRP) is a subset of BCP focused specifically on restoring IT systems, applications, and data after an incident. A strong BCP includes a DRP, but also addresses communication, personnel, and operational procedures beyond IT.

What Are Key Components of a Cloud BC Plan?

A cloud business continuity plan includes a business impact analysis, defined RTO/RPO targets per workload, automated cloud backup strategy, communication and escalation protocols, and a regular testing cadence. Each component must account for the unique characteristics of cloud environments, including shared responsibility models, multi-cloud architectures, and data sprawl.

Why Is Cloud-Native Backup Important?

Cloud-native backup is purpose-built for the scale and architecture of cloud workloads. Unlike legacy tools adapted for cloud, cloud-native solutions offer automated policy-driven protection, air-gapped storage, granular recovery, and serverless operation. These capabilities directly support faster recovery times and stronger business continuity outcomes.

How Often Should You Test Your Plan?

Test your business continuity plan at least quarterly. Each test should simulate realistic disruption scenarios — including ransomware, accidental deletions, and cloud provider outages — and validate that your defined RTO/RPO targets are achievable. Document the results, identify gaps, and update the plan accordingly.

What Is an Air-Gapped Backup?

An air-gapped backup is stored in an isolated environment that is not directly accessible from the production network or cloud account. This isolation protects backup data from ransomware, insider threats, and account-level compromise. Air-gapped backups are a critical component of a resilient business continuity strategy because they provide a clean, recoverable copy of data even when production systems are fully compromised.

SOC 2 Compliance Requirements: What They Are and How Data Protection Fits In

SOC 2 compliance requirements define how service organizations prove they protect customerdata and meetingthem hinges on more than firewalls and access controls.

Autore su LinkedIn

Vir Choksi, Principal Product Marketing Manager, Commvault

Pubblicato18 settembre 2026

SOC 2 Overview

SOC 2 is a voluntary auditing framework created by the AICPA that evaluates how service organizations manage customer data. Unlike regulatory mandates such as HIPAA or PCI DSS, SOC 2 is not a law. It is an audit report issued by an independent CPA firm that assesses your organization’s controls against the AICPA’s Trust Services Criteria.

The framework applies to any technology company or service organization that stores, processes, or transmits customer data. In practice, that means SaaS providers, cloud hosting companies, data analytics firms, and managed service providers are the most common candidates. But the audience has broadened significantly.

Enterprise procurement teams now routinely request SOC 2 reports during vendor evaluations, making the audit a de facto requirement for doing business with large organizations. What makes SOC 2 distinct is its flexibility. You do not check boxes on a fixed compliance list.

Instead, you define the scope of your audit by selecting which of the five Trust Services Criteria apply to your services. Your auditor then evaluates whether your controls meet those criteria effectively.

SOC 2 compliance requirements push you toward exactly that kind of structured, documented approach to security and data protection, one that can lower both risk and cost. The AICPA’s Trust Services Criteria framework provides the structure, and the audit report gives your customers the evidence they need.

Trust Services Criteria

The five Trust Services Criteria form the backbone of every SOC 2 audit. Each criterion addresses a specific dimension of how you protect and manage data. Security is the only mandatory criterion, but most organizations include at least one or two additional criteria based on their services and customer expectations.

Security (Common Criteria) – Security is the foundation of every SOC 2 report. The Common Criteria covers logical and physical access controls, system operations monitoring, change management, and risk mitigation.

Controls like CC6.4 (restricting physical and logical access to information assets) and CC6.7 (restricting the transmission, movement, and removal of information) are central to demonstrating that you protect systems from unauthorized access and threats. Every SOC 2 audit includes Security, regardless of which other criteria you select.

Availability – Availability addresses whether your systems are operational and accessible as committed in your service-level agreements. This is where data protection becomes critical. Control A1.2 requires you to maintain backup processes and recovery infrastructure. Control A1.3 requires you to test your recovery plan, not just document one.

Auditors want to see that you can restore systems and data within defined recovery time objectives and recovery point objectives.Clumio’s operational recovery capabilitiesare purpose-built for this: policy-driven backup with automated scheduling and air-gapped storage that satisfies both A1.2 and A1.3.

Confidentiality – Confidentiality criteria (C1.1 and C1.2) focus on protecting information designated as confidential. This includes encryption of data at rest and in transit, retention policies that define how long confidential data is kept, and secure destruction processes when retention periods expire.

Processing integrity – Processing integrity evaluates whether your systems process data completely, accurately, and in a timely manner. This criterion is most relevant for organizations whose core service involves data transformation, calculation, or transaction processing.

Privacy – Privacy addresses how you collect, use, retain, disclose, and dispose of personal information. It overlaps significantly with GDPR and CCPA requirements, making it a common addition for organizations that handle PII across jurisdictions.

SOC 2 Types

SOC 2 audits come in two forms, and the distinction matters. A SOC 2 Type 1 report evaluates whether your controls are properly designed at a specific point in time. Think of it as a snapshot: the auditor confirms your policies and controls exist and are appropriately structured on the date of the assessment.

A SOC 2 Type 2 report goes further. It evaluates whether those controls actually operate effectively over a defined period, typically six to 12 months. Auditors review evidence of consistent execution, including logs, change records, backup verification reports, and incident response documentation.

Type 2 is the standard that enterprise buyers expect. A Type 1 report can serve as an interim step while you build your audit history, but most procurement teams will require a SOC 2 Type 2 report before signing a contract.

The extended observation period is what gives the report its credibility: It proves your controls work in practice, not just on paper.

Control Mapping

Data protection is not a peripheral concern in a SOC 2 audit. It maps directly to multiple controls across the Security and Availability criteria. Yet many organizations overlook backup and recovery when preparing for their audit, focusing instead on access controls and network security.

Here is how specific SOC 2 controls align with data protection capabilities:

CC6.4

Restrict access to information assets

Clumio stores backups in an isolated, air-gapped environment with dedicated encryption, separate from your primary cloud account. This administrative isolation helps satisfy the control requirement to restrict logical access to protected information.

CC7.5

Identify and respond to security incidents

Clumio enables cross-account and cross-region recovery, helping support incident response testing and rapid restoration when production environments are compromised.

CC9.1

Identify and manage risk

Policy-driven backup with automated scheduling helps eliminate manual processes and custom scripts, which also helps reduce operational risk. Clumio’s serverless architecture scales automatically without infrastructure overhead.

A1.2

Maintain backup and recovery infrastructure

Clumio’s policy-based asset selection and offsite, air-gapped storage help deliver the backup processes and recovery infrastructure that auditors evaluate.

A1.3

Testare i piani di Recovery

Clumio supports restore testing through both its management console and API, helping enable you to demonstrate documented, repeatable recovery testing to your auditor.

Compliance Checklist

A structured approach to SOC 2 compliance requirements helps keep your audit on track and reduce the likelihood of gaps. Follow these steps:

Define your scope and select Trust Services Criteria.

Determine which criteria apply based on your services and customer commitments. Security is mandatory; add Availability, Confidentiality, Processing Integrity, or Privacy as needed.

Conduct a readiness assessment.

Identify where your current controls meet the criteria and where gaps exist. This is your roadmap.

Implement controls and document policies.

Build the technical and administrative controls required by each criterion. Document everything: policies, procedures, configurations, and responsibilities.

Perform internal testing, including backup and recovery validation.

Verify that your controls work as intended. For Availability, this means testing backup integrity, restore procedures, and failover processes.

Engage your auditor.

Select an independent CPA firm with SOC 2 experience. The auditor will define the observation period for a Type 2 report and outline evidence requirements.

Address gaps and obtain your report.

Remediate any findings from the audit and receive your final SOC 2 report. Starting with a clear checklist helps you move from preparation to audit with fewer surprises.

Domande frequenti

What are the 5 SOC 2 criteria?

The five SOC 2 Trust Services Criteria are Security, Availability, Confidentiality, Processing Integrity, and Privacy. Security, also known as the Common Criteria, is mandatory for every SOC 2 audit. Your organization selects additional criteria based on the services you provide and your contractual commitments to customers.

What is SOC 2 Type 1 vs. Type 2?

A SOC 2 Type 1 report evaluates whether your controls are properly designed at a single point in time. A SOC 2 Type 2 report assesses whether those controls operate effectively over a period of six to 12 months. Type 2 is more rigorous and is the standard that most enterprise buyers require.

How long does SOC 2 compliance take?

For a first-time audit, expect the full process to take six to 12 months. That includes readiness assessment, control implementation, the observation period, and the audit itself.

How often is SOC 2 compliance required?

A SOC 2 Type 2 report covers a specific observation period, typically 12 months. Most organizations renew annually to maintain an unbroken audit history and help satisfy ongoing customer and procurement requirements.

Is SOC 2 compliance mandatory?

SOC 2 is a voluntary framework, not a legal requirement. However, enterprise customers, partners, and procurement teams increasingly require a current SOC 2 Type 2 report before signing contracts. In practice, it has become a baseline expectation for any service organization handling customer data.

Punti di forza

ResOps is not a technology product. It’s a cross-functional operating discipline that helps drive organizational cyber resilience.
It complements backup, di ripristino di emergenza, cybersecurity, business continuity, and incident response by aligning these functions around end-to-end recovery outcomes.
ResOps focuses on critical services and business-defined impact tolerances, rather than isolated infrastructure components.
It relies on the continuous production of evidence, including tested recovery results, service resilience indicators, and an owned backlog of gaps.
ResOps is a continuous process. Neither making a plan nor running a successful one-time exercise are enough to establish lasting recovery capability.

The New Resilience Challenge

Most organizations invest in cybersecurity, backup,di ripristino di emergenza, and business continuity. Yet many executives still face three critical questions: Can we recover? How long will recovery take? And can we prove it?

Part of the challenge is that responsibility for resilience is spread across teams that often operate in silos. Security manages threats. IT maintains systems. Backup and di ripristino di emergenza teams restore data and infrastructure. Business continuity teams focus on keeping the organization running. Each plays an important role, but responsibility for recovery can remain fragmented.

ResOps brings these functions together around shared priorities, recovery goals, and evidence. The result is a more practical way to approach resilience: know what matters most, understand what it takes to recover it, test whether recovery works, and act on the gaps you find.

D: Che cos’è ResOps?

ResOpsis the operational discipline that brings security, infrastructure, IT operations,business continuity, and business owners together around critical services, resilient design, and continuous validation. Put simply, ResOps helps teams prepare for disruption, recover critical services within business-defined impact tolerances, and demonstrate in an evidence-based way that recovery works.

Four characteristics define ResOps. It is:

Cross-functional by design. ResOps connects distributed responsibilities through a shared operating model, named ownership, and executive governance.
Centered on critical services. It prioritizes the services the organization must restore to deliver core value, serve customers, and generate revenue; as well as helping meet urgent legal, regulatory, safety, and mission obligations.
Continuously validated. Resilience is a posture that teams must exercise and improve – not a state established by an annual test.
Measured through evidence. ResOps produces a resilience posture score (RPS): a per-service, evidence-backed score that measures how recoverable a single critical service is based on validation results, dependency health, and clean-recovery confidence.

What Isn’t ResOps?

It’s not a product category.

No platform can create ResOps on its own. Data protection, cyber recovery, automation, observability, and testing technologies can support the discipline, but ResOps is organizational. It depends on governance, shared accountability, business priorities, operational practices, and a common standard of evidence.

It’s not a replacement for backup and recovery or di ripristino di emergenza.

ResOps does not replace strong backup and di ripristino di emergenza capabilities: it depends on them. Backup establishes whether recoverable copies exist. Disaster recovery provides the procedures and technical capabilities to help restore systems and infrastructure.

But then ResOps asks a broader question: Can the critical service return completely, cleanly, and within tolerance, including its identities, applications, data, infrastructure, cloud services, third parties, people, and decision paths?

It’s not another name for business continuity or incident response.

Business continuity defines how the business operates through disruption. Incident response detects, contains, and manages the event. ResOps connects those disciplines to the recovery outcome. It creates an operating rhythm for teams to agree on what matters, validate recovery under realistic conditions, measure results, and address the gaps that testing reveals.

It’s not a compliance exercise or one-time project.

A mature ResOps program can help generate evidence for boards, regulators, insurers, customers, and auditors. But documentation is a byproduct, not the objective. The objective is demonstrated recoverability.

And because systems, dependencies, threats, and business priorities keep changing, ResOps is never “finished.” It operates continuously, much like financial planning or security operations.

What Changes With ResOps?

ResOps shifts the focus from whether individual systems and processes are working to whether the critical service as a whole can recover. That changes the questions leaders can ask.

A successful backup is important. So is having a recovery plan. But neither one tells you whether a critical service can actually be restored when you need it. ResOps looks at the bigger picture:

Did we recover from a verified clean recovery point?
How long did it take?
Did we recover within the limits the business set?
And what still needs attention?

That’s why ResOps matters. It gives organizations a way to move beyond assumptions of resilience to programmatic, reliable demonstrations of their ability to recover. And they do it with continuous production of evidence and traceability. So when disruption happens, the question isn’t whether every team did its part or who failed at which task. It’s whether the business can restore the critical services its customers depend on.

Per saperne di più

Commvault has publishedResOps: An Executive Guide to give CISOs, CIOs, IT, security, resilience, and risk leaders a practical framework for implementing ResOps in their organizations.

Leaders will learn how to identify the services that matter most, validate recovery readiness with real evidence, and continuously test resilience. As a result, organizations can establish a single operating model that unites security, infrastructure, IT operations, and business leaders around evidence-based recoverability.

Get the guide here.

Domande frequenti

Q: Is ResOps simply a new name for di ripristino di emergenza?

A: No. Disaster recovery is an essential part of ResOps, but ResOps looks at the entire critical service – including technical, third-party, human, and decision dependencies – and whether it can recover within a business-defined impact tolerance.

Q: Does ResOps require buying a new platform?

A: No. Technology can support mapping, testing, recovery, and evidence collection, but ResOps starts with ownership, governance, business priorities, and operating practices.

Q: Who owns ResOps?

A: ResOps needs a named leader with cross-functional authority and executive sponsorship. Individual service owners remain accountable for their services, while security, IT, business continuity, and business teams contribute to the shared recovery outcome.

Q: How is ResOps success measured?

A: Success comes from current evidence that critical services can recover cleanly within their defined impact tolerances – not simply from completing a plan or running a successful backup job.

A resilience posture score (RPS) is also a useful measurement tool. As a per-service, evidence-backed score, RPS helps demonstrate how recoverable a single critical service is based on validation results, dependency health, and clean-recovery confidence.

Q: How do organizations get started with ResOps?

A: Start by identifying the critical services the business depends on, who owns them, what they depend on, and how quickly they need to recover. From there, teams can validate recovery, identify gaps, and prioritize the work needed to strengthen resilience.

Michael Thelander is Senior Director of Product Marketing at Commvault.

Perché i rischi informatici moderni richiedono una resilienza informatica completa

Ransomware attacks target the full data lifecycle–from backups to production systems. See how Commvault’s A-to-Z cyber resilience approach unifies protection, detection, and recovery toa proteggere i dati alla fonte e monitorare eventuali anomalie.manage risk and restore operations fast.

Cailin Pitcher, Senior Portfolio Marketing Manager, Commvault

Pubblicato27 agosto 2026

Punti di forza

Modern cyber risk demands unified resilience across the entire una protezione dei datilifecycle, from prevention to recovery, as fragmented toolsfail to address today’s complex threat landscape.

Cyber risk now affects customer trust, with breaches often leading to lost business and reputational damage.
A-to-Z resilience brings protection, monitoring, governance, and recovery into a unified, more effective strategy.
Leadership is essential in driving proactive defense, rapid response, and clear communication across the organization.
Fragmenteduna protezione dei datisecurity tools leave gaps in hybrid environments that attackers can exploit more easily.
An end-to-end approachhelpsimprove visibility, speed recovery, andmaintainbusiness continuity.

Modern cyber risk spans the entire una protezione dei datilifecycle – from vulnerabilities and threats to recovery and compliance – making fragmented, reactive tools insufficient. Organizations need A-to-Z cyber resilience that unifies protection, monitoring, governance, and recovery. This approach helpsmanage risk, strengthen security posture, and enable faster, more reliable recovery across complex hybrid environments.

Una singola violazione può costarti la fiducia dei clienti

Cyber risk is no longer just an IT issue – it is a direct threat to customer trust and revenue.

Il 64% dei consumatori would stop doing business with a company after a significant data breach, highlighting how quickly loyalty erodes when data is compromised.

Questo cambiamento alza la posta in gioco: la resilienza non è più un’opzione, ma un requisito imprescindibile.

Allo stesso tempo, c’è un divario tra aspettative e comportamenti. I consumatori esigono una protezione dei dati rigorosa, eppure persistono abitudini rischiose come il riutilizzo delle password o l’uso di reti non protette. Questa incoerenza può aumentare l’esposizione al rischio e attribuisce alle organizzazioni una maggiore responsabilità nella protezione dei dati in ogni punto di contatto.

Trust is earned through consistent action – especially in cybersecurity.

Commvault Cloud,basato sulla tecnologiaMetallic AI,aiuta le organizzazioni ad agire in tal senso unificando protezione, monitoraggio e Recovery lungo l’intero ciclo di vita dei dati, rafforzando la fiducia attraverso un’esecuzione coerente. L’infografica riflette questo approccio completo, che spazia dall’allerta precoce al monitoraggio delle minacce, fino al Recovery rapido.

Per le organizzazioni, il messaggio è chiaro: la resilienza non consiste solo nel prevenire gli attacchi, ma nel mantenere la fiducia quando la prevenzione fallisce.

La resilienza informatica inizia dalla leadership

Man mano che le minacce diventano sempre più sofisticate, la resilienza informatica è diventata una priorità aziendale che va oltre i team IT. La leadership svolge un ruolo fondamentale nell’allineare strategia, investimenti e responsabilità in tutta l’organizzazione.

Questo mandato si concretizza in tre modi:

Proteggersi prima che si verifichi una violazione.
Rafforzare le difese con principi zero-trust, monitoraggio regolare e piattaforme unificate in grado di adattarsi alle minacce in continua evoluzione.
Reagire rapidamente quando si verificano gli incidenti.
Customers and stakeholders judge organizations not just on whether a breach happens – but how quickly and effectively they recover.
Comunicare con trasparenza
.

Secondo i dati del settore, ilcosto medio di una violazione ha raggiunto i 4,88 milioni di dollari

Commvault Cloud supporta questo mandato dirigenziale riunendo governance, rilevamento delle minacce e ripristino coordinato in – helping organizations align teams and respond with greater speed and coordination.

La resilienza end-to-end aiuta a gestire il rischio

Modern environments are too complex for fragmented tools to keep up. Data spans hybrid cloud, on-prem systems, and SaaS applications – creating a broad and dynamic attack surface. Point solutions leave gaps that attackers exploit.

An end-to-end approach helps close those gaps by integrating capabilities across the lifecycle: vulnerability management, threat detection, immutability,air-gapped protection, and orchestrated recovery. This unified model helps improve visibility and enable faster, more reliable response.

Commvault Cloud brings these capabilities togetherwith AI-enabled insights, regular monitoring, and automated recovery workflows, helping organizations manage risk and maintain operational continuity across hybrid environments.

Organizations should plan for cyber incidents as an expected event and prioritize resilience and recovery readiness. The difference lies in readiness – and having a unified approach to protection, detection, and recovery across the data lifecycle.

Domande frequenti

What is A-to-Z cyber resilience?

A-to-Z cyber resilience is a unified approach that covers the entire data lifecycle–from protection and monitoring through governance and recovery. CommvaultCloudhelps youimplementsthis through itsresilience operations (ResOps)framework, replacing fragmented tools with an integrated strategy that uses AI-enabled threat detection, immutable storage, and orchestrated recovery toa proteggere i dati alla fonte e monitorare eventuali anomalie.manage risk and improve response times across hybrid environments.

Why is cyber resilience a business priority, not just an IT concern?

Cyber incidentscandirectlyimpactcustomer trust, revenue, and brand reputation. CommvaultCloud helps organizations address this risk with unified data protection and threat monitoring, giving business leaders visibility and control tobe able torespond quickly andmaintaintrust across critical operations.

How does a data breach affect customer trust?

A single breach canquickly erode customer confidence, especially when sensitive data is exposed. CommvaultCloud Threat Scanhelps identifyhidden threats in backup data, enabling safer recovery and helping organizationsmaintaintrust through more reliable, clean restore processes.

What role does leadership play in cyber resilience?

Leadership aligns strategy, investment, and accountability across the organization. With CommvaultCloud and itsResOps framework, leaders canunify protection, detection, and recovery efforts, helping teams act faster, coordinate response, and communicate effectively during cyber incidents.

Why are fragmented cybersecurity tools no longer effective?

Modern environments span hybrid cloud, SaaS, and on-prem systems, creating a broad attack surface. CommvaultCloud unifies capabilities like air-gapped protection,regular monitoring, and automated recovery, helpingeliminategaps and enablemore coordinated, efficient responses to threats.

How does CommvaultCloud support cyber resilience?

CommvaultCloud integrates protection, threat detection, and recovery into a single platform. With capabilities likeCommvaultCleanroom™ and automated workflows, it helps organizations manage risk, accelerate recovery, andmaintainbusiness continuity across the data lifecycle.

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Every episode of Ready. Or Not. has challenged me to think about AI a little differently. The conversations have moved from understanding agentic AI to building trust and preparing organizations for responsible adoption. This episode turns its attention to vibe coding and why it’s becoming one of AI’s most talked-about ways of working.

Comedian Nathan Macintosh sits down with Microsoft engineer and open-source leader Harald Kirschner to discuss what vibe coding really means, why it’s gaining momentum, and where it can go wrong if speed outpaces oversight.

Watch the episodioon Readiverse.

Punti di forza

AI is making it easier for organizations to test ideas, solve problems, and innovate faster.
Vibe coding helps teams quickly explore and validate ideas before making larger investments.
AI delivers more value when it’s used to challenge assumptions – not just generate content.
Human judgment, thoughtful review, and clear guardrails remain essential in an AI-driven world.
The organizations that learn faster will be better positioned to innovate.

I was already familiar with the term vibe coding, but after listening to this episode, I walked away with a much better understanding of why people – not just developers, but also nontechnical teams – are embracing it.

By the end of the conversation, I realized vibe coding isn’t really about coding at all. It’s about learning faster and knowing where AI fits into the creative process. The conversation also makes something else clear: AI may accelerate the work, but people are still responsible for guiding it. That’s why guardrails matter more than ever. Here are some of the themes that resonated with me.

From Idea to Reality

One thing I learned about vibe coding is that it’s changing how organizations explore ideas. Instead of spending weeks building something before finding out whether it works, teams can quickly create a prototype, gather feedback, and decide whether it’s worth pursuing.

“AI can be a really good critical thought partner if it’s applied properly.”

– Harald Kirschner

Harald explains that vibe coding uses natural language to turn ideas into working software. He uses software development as an example, but the concept extends beyond engineering teams. For a product manager testing a new feature, a designer exploring an interface, or a business leader validating a concept, AI makes it much easier to turn an idea into something people can actually experience.

That ability to experiment may be one of AI’s greatest strengths. Organizations can learn what resonates, refine ideas earlier, and invest time and resources only after they’ve gained confidence that they’re solving the right problem.

Moving Fast Still Requires Oversight

One thing Harald emphasizes throughout the conversation is that speed shouldn’t come at the expense of a thorough review.

Again, he uses software development as an example. AI can quickly generate working code, but that doesn’t automatically make it secure, reliable, or ready for production. Developers still need to review it, test it, and make sure it meets the same standards they would apply to anything else they build.

Harald’s lesson extends well beyond engineering. As AI becomes part of business processes, organizations will need the same mindset whether they’re generating software, creating content, analyzing data, or automating workflows. Vibe coding can help the work move faster, but people are still responsible for validating the results.

That’s one of the most important lessons from the episode. While AI can make it easier to create something quickly, human expertise is what turns a good idea into something people can trust.

Honest Feedback Gets Better Results

A memorable moment in this episode starts with an unexpected prompt. Instead of asking AI to write code, Harald asks it to critique his work by prompting it to “Roast my code.”

It’s funny, but it’s also an effective way to get more honest feedback from AI. Instead of acting like an assistant that simply completes a task, AI becomes more like a trusted colleague offering another perspective. Used this way, it can challenge assumptions, uncover blind spots, and improve the quality of the final result.

AI’s constructive criticism can help us improve our work, but it also becomes more useful when we continue teaching and refining it. Anyone who’s spent time working with AI knows it could use a little feedback, too.

Sneak Peek: Checking the Vibe

What happens when AI keeps making the same mistakes? Nathan compares it to an unruly party guest who eventually stops getting invited. Hear Harald explain how to train AI to become more useful over time.

Innovation Becomes More Accessible

Something that keeps resurfacing throughout the conversation is that AI is changing who gets to participate in innovation.

AI is lowering the barrier for people across an organization to explore ideas, experiment with new approaches, and quickly bring concepts to life. Instead of relying on technical specialists to validate every idea, more people can create something tangible, gather feedback, and refine their thinking before significant time and resources are invested.

“… you can actually build it and hand it to some people and see like, oh, this is flying, or this is really falling flat.”

– Harald Kirschner

To me, that’s one of AI’s most exciting opportunities. By making experimentation faster and more accessible, AI gives organizations the confidence to test more ideas, learn from them sooner, and involve more people into the creative process.

Ready for What’s Next

Vibe coding may be the workflow everyone’s talking about today, but the bigger story is how AI continues to change the way we learn, experiment, and solve problems. Every episode of Ready. Or Not. reminds me that the organizations willing to explore new technology will be the ones best prepared for what’s next.

Watch the episodioon Readiverse.

Domande frequenti

Q: What is vibe coding?

A: Vibe coding is an emerging way of working with AI that uses natural language to quickly turn ideas into something tangible. Instead of starting from scratch, people can use AI to prototype concepts, explore solutions, gather feedback, and iterate much more quickly.

Q: Why is vibe coding generating so much interest?

A: Vibe coding lowers the barrier to experimentation. It allows more people – not just technical specialists – to test ideas, validate concepts, and learn what works before investing significant time and resources.

Q: Does vibe coding replace human expertise?

A: No. The conversation makes it clear that AI works best as a collaborator, not a replacement. People are still responsible for applying judgment, reviewing results, and deciding what should move forward.

Q: Why do organizations still need guardrails when using AI?

A: AI can accelerate work, but it doesn’t eliminate the need for thoughtful oversight. Clear policies, review processes, and human expertise help organizations validate AI-generated work and reduce unnecessary risk.

Q: How can AI improve the way organizations work?

A: Beyond generating content or prototypes, AI can help challenge assumptions, identify blind spots, suggest improvements, and accelerate learning. Used thoughtfully, it becomes another perspective that helps teams make better decisions.

Q: What’s the biggest takeaway from this episode?

A: The greatest value of AI isn’t simply helping organizations move faster. It’s helping them experiment more freely, learn more quickly, and involve more people in the innovation process – while continuing to rely on human judgment to guide the final decisions.

Katherine Demacopoulos is Senior Director of Global Content Strategy and Programs at Commvault.

Il Backup and Recovery nel cloud spiegati: dal rilevamento delle minacce al Recovery completo

Learn how cloud backup and recovery works to help protect clean data, validate recovery readiness, and restore business operations after a ransomware attack or cyber incident.

Cailin Pitcher, Senior Portfolio Marketing Manager, Commvault

Pubblicato25 agosto 2026

Punti di forza

I moderni sistemi di Backup and Recovery nel cloud non si limitano alla semplice esecuzione dei backup. Dovrebbero aiutare le organizzazioni a identificare le minacce, proteggere i dati e ripristinare le operazioni aziendali in modo rapido e sicuro.

Recovery inizia molto prima del ripristino vero e proprio. Il rilevamento precoce delle minacce può aiutare a identificare i dati compromessi e impedire che i backup infetti vengano ripristinati.
I backup immutabili sono essenziali. Le organizzazioni possono sfruttare queste copie di Recovery protette e isolate per proteggersi dal ransomware e dagli attacchi mirati ai backup.
Recovery richiede una verifica; le organizzazioni devono testare l’integrità dei backup e la Readiness al ripristino prima che si verifichi un incidente.
Cloud backup and recovery is a resilience strategy. The goal isn’t just data protection – it’s reducing downtime and restoring business operations faster.

Il processo ideale di Backup and Recovery su cloud inizia con il rilevamento di minacce quali ransomware, accessi sospetti o attività anomale sui dati. Le organizzazioni possono quindi ottenere copie di backup pulite e immutabili, verificare i punti di ripristino non compromessi e isolare i sistemi compromessi. Una volta verificati, le applicazioni e i dati critici possono essere ripristinati tramite processi di Recovery automatizzati, contribuendo a ridurre al minimo i tempi di inattività, a limitare la perdita di dati e a ripristinare le operazioni aziendali in modo rapido e sicuro.

La resilienza informatica viene sempre più spesso valutata in base a ciò che accade dopo che gli aggressori sono riusciti a penetrare nei sistemi. Le organizzazioni hanno investito ingenti risorse nella prevenzione, nel rilevamento e nella risposta, ma il ransomware, lo sfruttamento delle vulnerabilità, l’uso improprio delle credenziali, le configurazioni errate del cloud e la compromissione di sistemi di terze parti continuano a causare interruzioni delle operazioni.

Per molti team, la sfida della Recovery non consiste più semplicemente nel verificare se esistono dei backup, ma piuttosto se tali backup sono integri, protetti, convalidati e pronti per ripristinare i servizi critici quando non è più possibile fare affidamento sui sistemi di produzione.

Questa distinzione è importante perché gli attacchi informatici continuano a generare sia rischi per i dati che interruzioni operative. Secondo il Verizon2026 Data Breach Investigations Report, il ransomware è stato coinvolto nel 48% delle violazioni, in aumento rispetto al 44% dell’anno precedente. Il rapporto ha inoltre rilevato che lo sfruttamento delle vulnerabilità è diventato il vettore di accesso iniziale più comune per le violazioni, salendo al 31%, mentre l’abuso delle credenziali è sceso al 13%.

Le attività di Backup and Recovery nel cloud devono supportare l’intero percorso, dal rilevamento al ripristino. Ciò inizia con l’identificazione di attività sospette prima che i dati compromessi vengano ripristinati. Prosegue con punti di Recovery protetti e immutabili che offrono ai team opzioni di Recovery utilizzabili quando i sistemi di produzione non sono più affidabili.

A questo punto, le organizzazioni hanno bisogno di un modo per verificare quali punti di ripristino siano integri e per ripristinare i carichi di lavoro critici nell’ordine corretto. Il risultato è una strategia di Recovery che aiuta i team a passare dalla risposta agli incidenti al ripristino operativo con maggiore sicurezza.

Perché il Backup and Recovery su cloud costituiscono una strategia di resilienza informatica?

Traditional backup strategies were designed to help organizations recover from hardware failures, accidental deletion, and localized outages. Those use cases still matter, but today’s recovery requirements are broader.

Gli attacchi informatici possono colpire contemporaneamente i carichi di lavoro di produzione, i sistemi di gestione delle identità, le configurazioni cloud, le applicazioni SaaS e gli ambienti di backup. Quando ciò accade, il Recovery non consiste semplicemente nel ripristinare una copia dei dati. Si tratta piuttosto di determinare quali sistemi siano affidabili, quali punti di ripristino siano rimasti integri e quali servizi debbano essere ripristinati per primi.

Ecco perchéil Backup and Recovery nel cloudsono diventati una parte fondamentale della resilienza informatica. Una strategia moderna dovrebbe aiutare i team a rilevare attività sospette, proteggere i dati di ripristino, verificare l’integrità dei backup e ripristinare le operazioni critiche secondo una sequenza controllata. Dovrebbe inoltre favorire l’esecuzione di test regolari, poiché un piano di ripristino che non è stato messo in pratica potrebbe non funzionare come previsto durante un incidente reale.

Ciò segna un passaggio dal backup inteso come polizza assicurativa alla recuperabilità intesa come capacità operativa. Le copie archiviate sono ancora importanti, ma costituiscono solo una parte dell’equazione della Recovery. I team devono inoltre avere la certezza che i dati di Recovery non siano stati alterati, che i flussi di lavoro di Recovery siano stati testati e che l’azienda sappia quali servizi devono essere ripristinati per primi.

Il Backup and Recovery nel cloud diventa più facile da comprendere se considerato come un ciclo di vita. Le cinque fasi riportate di seguito mostrano come le organizzazioni possano passare dal rilevamento precoce delle minacce al Recovery convalidato e al miglioramento della resilienza a lungo termine.

Fase 1: Individuare le minacce prima che il rischio di Recovery si diffonda

Recovery inizia prima che i sistemi vengano riportati allo stato precedente. In caso di incidente informatico, la priorità assoluta è capire se l’attività sospetta abbia interessato i dati di produzione, i dati di backup o entrambi.

Se i team eseguono il ripristino da un punto di ripristino compromesso, potrebbero reintrodurre nell’ambiente file danneggiati, tracce di malware o modifiche non autorizzate. Questo rischio rende il rilevamento delle minacce una parte importante del Backup and Recovery nel cloud, non solo una questione che riguarda le operazioni di sicurezza.

Le moderne strategie di Recovery dovrebbero includere la visibilità sulle attività anomale nei carichi di lavoro, negli ambienti di backup e nei punti di Recovery. I team potrebbero dover indagare su segnali quali:

Comportamento di crittografia insolito
Picchi improvvisi di cancellazioni
Modifiche impreviste dei privilegi
Modelli di backup anomali
Indicatori di malware

Questi segnali possono aiutare i team a capire dove un attacco potrebbe essersi diffuso e quali dati potrebbero richiedere un’ulteriore verifica prima del ripristino.

Timing is another essential factor. Microsoft’s Il Rapporto sulla difesa digitale 2025di Microsoft ha rilevato che la maggior parte degli attacchi esaminati dal suo team di rilevamento e risposta (DART) presentava tempi di permanenza brevi, il che significa che i team di ripristino potrebbero non avere settimane a disposizione per comprendere la portata completa della compromissione prima che gli aggressori si spostino lateralmente, accedano a dati sensibili, interferiscano con i servizi o tentino di compromettere i sistemi di backup. Il contesto di rilevamento può aiutare i team a evitare di considerare ogni punto di ripristino ugualmente affidabile.

Threat detection doesn’t eliminate recovery risk on its own. It helps create a more informed recovery process. When suspicious activity is identified early, organizations can isolate affected systems, investigate impacted data, and avoid restoring recovery points that may reintroduce the same threat.

Ciò offre ai team di sicurezza, IT e di Recovery un punto di partenza più chiaro per la fase successiva: proteggere i punti di ripristino integri prima che gli autori degli attacchi possano alterarli o rimuoverli.

Stage 2: Protect clean recovery points from attack

In a cyber incident, backups are not just stored copies. They are part of the recovery path, which means attackers may try to disrupt them. If backup data is altered, encrypted, deleted, or made inaccessible, the organization may lose one of its best options for restoring operations without relying on compromised production systems.

That’s why clean recovery pointsneed layered protection. Immutable and indelible backup storage can help preserve data for a defined retention period. Offsite or isolated copies help add separation from the production environment. Encryption, access controls, and role-based permissions help limit who can access or change backup settings. Together, these safeguards make it harder for attackers to interfere with the data teams may need most during recovery.

The goal is to preserve recovery choice. The 2026 Verizon report found that69% of ransomware victimsin its dataset did not pay the ransom, up from 65% the prior year. The report also notes that median ransom payments continued to decline, which it links in part to improved defensive adaptations and increased victim resilience. Teams need clean backups they can actually use, so paying a ransom is not the only path back to business.

The familiar 3-2-1 backup rule still provides a useful foundation: Keep three copies of data, on two different media or platforms, with at least one copy stored offsite or isolated. Modern cloud backup and recovery strategies often extend that model with immutable storage, air-gapped patterns, policy-based retention, and replicated copies across cloud or hybrid environments.

With protected recovery points in place, teams can pare down their restore options and move into validation with a clearer view of what is ready to bring back.

Fase 3: Verificare quali backup sono pronti per il ripristino

Disporre di backup non significa essere pronti per il ripristino. Prima di ripristinare i sistemi di produzione, i team devono sapere quali punti di ripristino sono utilizzabili, quali carichi di lavoro sono stati interessati e quali dipendenze devono essere ripristinate insieme a essi.

Un backup recente potrebbe contenere i dati aziendali più aggiornati, ma potrebbe anche includere file danneggiati, modifiche non autorizzate o tracce di malware. Un backup più vecchio potrebbe essere più pulito, ma potrebbe causare una maggiore perdita di dati. La verifica aiuta i team a trovare il giusto compromesso basandosi su prove concrete anziché su supposizioni.

Questo lavoro inizia con la definizione dell’ambito dell’incidente. I team di sicurezza e IT devono capire quando sono iniziate le attività sospette, quali sistemi sono stati coinvolti e se sono stati interessati servizi di identità, database, condivisioni di file, applicazioni SaaS o configurazioni cloud.

Devono inoltre confermare se il punto di Recovery supporti l’applicazione nel suo complesso, non solo i dati sottostanti. Il ripristino di un database, ad esempio, può dipendere dalla disponibilità e dal corretto funzionamento di server applicativi, autorizzazioni, chiavi di crittografia, percorsi di rete e servizi di identità.

Gli ambienti di Recovery isolati possono aiutare i team a verificare tali condizioni prima di eseguire il ripristino in produzione. In un ambiente controllato, i team possono in tutta sicurezza:

Analizzare i punti di Recovery selezionati.
Esaminare le modifiche ai file.
Verificare l’avvio dell’applicazione.
Verificare l’accesso degli utenti.
Verificare se i sistemi dipendenti funzionano come previsto.

La convalidadovrebbe anche orientare la sequenza di Recovery. I team potrebbero dover ripristinare prima i servizi di identità, poi l’infrastruttura di base, quindi le applicazioni mission-critical e infine i carichi di lavoro di supporto.

Testando i punti di Recovery prima del ripristino, possono restringere le opzioni e decidere quali sistemi sono pronti per essere ripristinati, quali necessitano di un’ulteriore revisione e quali dovrebbero rimanere isolati fino a quando il rischio non sarà compreso meglio.

La fase successiva è quella in cui tale decisione si traduce in azione: il ripristino dei sistemi, delle applicazioni e dei dati di cui l’azienda ha bisogno per primi.

Fase 4: Ripristinare le operazioni critiche nell’ordine corretto

A restore plan starts with the organization’s minimum viable operating state. That means identifying the people, systems, applications, data, and communication channels the business needs to function at a basic level during a disruption.

Per alcune organizzazioni, ciò potrebbe iniziare con i servizi di identità e le comunicazioni con i dipendenti. Per altre, potrebbe dare priorità alle applicazioni rivolte ai clienti, ai sistemi di pagamento, ai sistemi clinici, alle operazioni di produzione o alle piattaforme logistiche. L’ordine dovrebbe riflettere l’impatto sul business, non solo la convenienza tecnica.

Dependencies are where many recovery plans become more complicated. An application may be listed as “critical,” but it still depends on identity, DNS, network connectivity, databases, storage, encryption keys, APIs, and monitoring. If those pieces are not restored in the right state, the application may come back online but remain unusable. That is why recovery teams need dependency mapping before an incident, not during one.

I runbook e i flussi di lavoro orchestrati aiutano a trasformare tali decisioni in passaggi ripetibili. Consentono di definire chi approva il ripristino, quale ambiente debba essere utilizzato, quali controlli debbano essere effettuati prima che venga ripristinato l’accesso all’ambiente di produzione e quando il livello successivo di sistemi possa tornare online. Ciò è importante quando i team di sicurezza, infrastruttura, applicazioni, cloud e aziendali lavorano tutti contemporaneamente.

Anche il Recovery richiede punti di controllo. Dopo il Recovery di ogni carico di lavoro principale, i team dovrebbero verificare che gli utenti possano autenticarsi, che i dati siano disponibili, che le integrazioni funzionino e che il monitoraggio sia attivo. Questi controlli aiutano a individuare i problemi prima che il Recovery si estenda al livello successivo di sistemi.

La velocità è ancora importante, ma il controllo lo è altrettanto. Un ripristino veloce può generare più lavoro se vengono ripristinati dati errati, se mancano i controlli di accesso o se un’applicazione viene ripristinata senza i sistemi necessari per il suo funzionamento. L’approccio più efficace consiste nel ripristinare per fasi, verificare che ogni servizio critico funzioni e poi continuare ad espandere Recovery man mano che l’ambiente si stabilizza.

Fase 5: Trasformare gli insegnamenti tratti dal Recovery in una continuità più solida

Una volta ripristinati i servizi critici, i team devono comunque capire cosa ha funzionato, cosa li ha rallentati e in quali punti il piano di Recovery non ha tenuto conto della realtà. È proprio questo follow-up che trasforma il Backup and Recovery nel cloud da un’attività di risposta a una pratica di resilienza continua.

Il primo passo consiste nell’analizzare il processo di Recovery stesso. I team dovrebbero porsi domande quali:

Con quale rapidità i team hanno individuato attività sospette?
È stato facile identificare i punti di Recovery validi?
Quali fasi di convalida hanno richiesto più tempo del previsto?
In quali punti i flussi di lavoro di ripristino hanno subito rallentamenti?
Sono state coinvolte le persone giuste al momento giusto?

Queste risposte possono rivelare lacune che non sono sempre di natura tecnica. La Recovery può avere esito positivo e tuttavia evidenziare problemi relativi al processo decisionale, alla comunicazione, alle approvazioni o ai passaggi di consegne tra i team.

Tali risultati dovrebbero confluire direttamente nella prossima versione del piano di Recovery. Se un’applicazione critica dipendeva da un sistema non documentato, aggiornare la mappa delle dipendenze. Se i controlli di accesso hanno rallentato il ripristino, chiarire il processo di approvazione. Se i test di Recovery hanno tralasciato un carico di lavoro chiave, aggiungerlo alla prossima esercitazione. Se i dirigenti aziendali non avevano visibilità su ciò che era stato ripristinato e su ciò che era ancora offline, migliorare i percorsi di segnalazione e di escalation.

I test regolari sono ciò che garantisce la solidità di questo lavoro. Esercitazioni teoriche, ripristini isolati, test di Recovery in ambiente pulito e la convalida della Recovery cross-cloud aiutano i team a individuare i problemi prima che un incidente reale li costringa ad apprendere sotto pressione. Contribuiscono inoltre a fornire ai dirigenti prove più concrete di dove l’organizzazione è pronta e dove deve ancora lavorare.

Nel tempo, l’obiettivo è un programma di Recovery che diventi più efficace dopo ogni test e ogni incidente. I team sono meglio preparati, le fasi di Recovery sono comprese più a fondo e l’organizzazione dispone di un percorso più chiaro per mantenere operative le attività essenziali anche in caso di interruzioni.

Trasformare il Recovery dal cloud in resilienza aziendale

Cloud backup and recovery now plays a larger role than traditional data protection alone. It is the connected process of detecting recovery risk, protecting backup data, validating clean restore options, and restoring critical services when production environments can no longer be trusted.

In caso di incidente informatico, tali attività non possono essere gestite come passaggi di consegne separati. Il contesto della minaccia dovrebbe determinare quali backup devono essere esaminati. La protezione dei backup dovrebbe preservare le opzioni di Recovery di cui i team potrebbero aver bisogno. La verifica dovrebbe stabilire cosa è pronto per il ripristino. Il ripristino dovrebbe ripristinare i servizi da cui dipende l’azienda in un ordine controllato.

Un backup di cui non ci si può fidare, che non è stato testato o che non può essere ripristinato al momento giusto potrebbe non fornire all’azienda il risultato di cui ha bisogno. Un processo di ripristino che ignori l’identità, le dipendenze delle applicazioni o le priorità aziendali può lasciare i sistemi tecnicamente ripristinati ma operativamente incompleti.

L’opportunità più ampia consiste nel considerare il Recovery come una pratica di resilienza continua. Ciò significa testare i piani prima che si verifichi un incidente, aggiornare le mappe delle dipendenze man mano che gli ambienti cambiano e utilizzare ogni esercitazione o evento di Recovery per migliorare la risposta successiva.

Le organizzazioni che si riprendono più rapidamente non sono necessariamente quelle con il maggior numero di copie dei dati. È fondamentale sapere quali dati sono utilizzabili, quali servizi sono più importanti e come ripristinarli in situazioni di emergenza.

La sfida consiste nel rendere la Readiness per il ripristino operativa quanto il rilevamento e la risposta. Il Backup and Recovery nel cloud forniscono una base pratica per questo lavoro quando vengono considerati come un percorso continuo che va dal rilevamento del rischio al ripristino delle attività aziendali.

Le organizzazioni dovrebbero sviluppare questa capacità per essere meglio posizionate a ripristinare dati integri, recuperare i servizi critici e mantenere l’attività in funzione quando si verificano interruzioni.

Domande frequenti

Qual è la differenza tra backup su cloud e ripristino di emergenza?

Il backup su cloud si concentra sulla creazione di copie sicure dei dati ai fini del ripristino, mentre la Recovery si concentra sul ripristino di applicazioni, sistemi e operazioni aziendali a seguito di un’interruzione o di un attacco informatico. Insieme, contribuiscono a garantire la continuità operativa e la resilienza aziendale.

Perché i backup immutabili sono importanti per la resilienza informatica?

Immutable and indelible backups are designed to help prevent backup data from being altered, encrypted, or deleted within defined retention settings. Combined with Commvault AirGap and automated Cleanpoint identification, Commvault’s immutable backup capabilities help keep organizations ready with a verified, clean recovery source available when production systems are compromised.

Cosa devo cercare in una soluzione di Backup and Recovery nel cloud?

Cercate una piattaforma che unifichi ambienti ibridi e multi-cloud, storage immutabile, orchestrazione automatizzata del ripristino e gestione centralizzata. Commvault Cloud è progettato per soddisfare questi requisiti, aiutando le organizzazioni a proteggere infrastrutture diversificate riducendo al minimo i tempi di inattività dovuti al ripristino e la complessità operativa.

La soluzione di backup di Commvault offre protezione dal ransomware e backup in modalità air-gap?

Sì. Commvault aiuta le organizzazioni a rafforzare la resilienza informatica grazie a backup immutabili, opzioni di ripristino in modalità air-gap, rilevamento delle minacce, funzionalità di ripristino pulito e protezione a più livelli contro il ransomware, progettate per ridurre i rischi di Recovery e i tempi di inattività.

Commvault offre test automatizzati dei backup e report di conformità?

Sì. Commvault fornisce test di ripristino automatizzati, convalida dei backup, reportistica di conformità e visibilità pronta per gli audit per aiutare le organizzazioni a verificare la recuperabilità, dimostrare la conformità e migliorare la Readiness al ripristino.

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Punti di forza

AI adoption is accelerating, helping make employees more efficient, productive, and competitive.
Organizations need governance and guardrails to adopt AI responsibly and at scale.
Security and productivity don’t have to compete – they can reinforce one another.
AI will become one of security’s most valuable tools for managing cyber risks.
AI adoption works best when innovation and security move together.

One of the things I’ve enjoyed about the Pronti. O no.series is that each conversation builds on the last. We started by exploring the opportunities and risks of agentic AI. Then we looked at how organizations can build trust as AI becomes part of everyday business. This episode addresses the next logical question: How do we actually use AI safely?

Comedian Nathan Macintosh sits down with Rinki Sethi, CISO and CSO at Upwind Security, for a conversation about what responsible AI adoption actually looks like. They cover everything from AI governance and guardrails to user experience and the growing role AI will play in cybersecurity.

Nathan continues to ask the questions many of us are wondering. Should we be worried? How much more productive do we need to be? And can AI actually make security better?

Guardaon Readiverse.

What I appreciated most about this conversation is that Rinki is genuinely excited about new technology and protecting it. She didn’t frame AI as something organizations need to worry about. Instead, she focused on encouraging businesses to move forward with confidence by putting the right guardrails in place. Here are the ideas that stayed with me.

The push for AI adoption

One thing that becomes clear from the conversation is that many organizations aren’t only encouraging their employees to adopt AI – they’re mandating it. These companies recognize that using AI helps people solve problems more efficiently, which is essential for staying competitive.

“Every single company has a mandate … we’ve got to use AI everywhere in the company.”

– Rinki Sethi

The question is no longer if AI belongs in the workplace, but do employees have the right guardrails to use it responsibly? As AI adoption accelerates, organizations need clear standards around which AI tools employees can use and how company data is protected.

Sneak Peek: AI Governance

Rinki explains that governance isn’t just about protecting against new risks. It’s about creating a framework that helps employees use AI responsibly while keeping pace with evolving regulations and industry standards.

The Hidden Benefit of Productivity

Here’s something I never thought about before. Rinki explains that AI isn’t simply helping people work faster. In many cases, it’s leaving room for the highest-performing employees to excel.

She used software developers as an example. When AI-powered coding assistants became available, many assumed they’d only help less experienced developers. Instead, some of the best engineers began using them to move faster. They were able to solve more complex problems and spend more time on creative work rather than repetitive tasks.

That kind of productivity is exactly why organizations are mandating AI. It doesn’t limit what people can do – it helps give them more space to focus on higher-value work.

“You can be way more creative with how you’re doing things … cause you’re creating the space for that.”

– Rinki Sethi

AI’s Role in Cybersecurity

“How can AI be used to help with security and not be just looked at as a demon thing that’s here to take us out?”

– Nathan Macintosh

When we talk about AI and security, the conversation is often focused on risk. But Rinki believes that AI will become one of cybersecurity’s greatest advantages.

Security teams are already overwhelmed by the volume of alerts, logs, and data they need to investigate every day. Human analysts simply can’t keep up. Rather than replacing security professionals, AI assists them by filtering through massive amounts of data in seconds. This helps analysts identify false positives so they can focus on investigating real threats.

My takeaway is that the future of cybersecurity isn’t about people versus AI – it’s about people working alongside AI to help make better decisions, respond faster, and scale their operations in ways that weren’t possible before.

Ready for What’s Next?

Every episode ofPronti. O no. has reminded me that the biggest AI conversations are often about people – how we adapt, how we learn, and how we build the confidence to use new technology responsibly. The real opportunity for organizations isn’t just adopting AI. It’s creating an environment where employees can use AI to work smarter, become more creative, and deliver better outcomes for the business.

Guardaon Readiverse.

Domande frequenti

Q: Why are organizations adopting AI so quickly?
R:Many organizations see AI as a way to help improve productivity, increase efficiency, and give employees more time to spend on higher-value work.
Q: What is AI governance?
R:AI governance is the combination of policies, processes, and oversight that helps organizations adopt AI responsibly while managing security, privacy, and compliance risks.
Q: Why is user experience important for security?
R:Security controls that create unnecessary friction often encourage people to find workarounds. Designing secure systems that are also easy to use helps improve both adoption and protection.
Q: Can AI help improve cybersecurity?
R:AI can help security teams analyze large amounts of data, which helps reduce false positives. This in turn helps teams prioritize threats and respond more efficiently to security events.
Q: Should people be afraid of AI?
R: Rinki’s perspective is that a healthy sense of skepticism is valuable, but fear shouldn’t prevent organizations from adopting technology responsibly. Education, governance, and strong security practices can help organizations use AI with confidence.
Q: What’s the biggest takeaway from this episode?
R: AI adoption isn’t about choosing between innovation and security. Organizations that combine strong governance with practical security measures will be better positioned to take advantage of AI’s benefits while managing its risks.

Katherine Demacopoulos is Senior Director of Global Content Strategy and Programs at Commvault.

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It’s not a product category.

It’s not a replacement for backup and recovery or di ripristino di emergenza.

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