Key Takeaways
- Cyber resilience is a business trust issue, requiring CIOs to prove that critical services can recover cleanly and within acceptable disruption levels.
- ResOps (resilience operations) shifts the focus from having backups to continuously testing and validating end-to-end business recovery.
- Effective recovery planning must account for dependencies across applications, identity, databases, cloud infrastructure, communications, and other critical systems.
- Recovery readiness should be measured in business terms, using metrics such as recovery time, recovery point objectives, test frequency, data integrity, and tested workflow coverage.
- As businesses increasingly depend on AI, SaaS, cloud platforms, and data pipelines, resilience must extend to the integrity, governance, security, and accessibility of the underlying data.
Trust Is Tested During Disruption
For a technology services company, trust is not an abstract brand value. It is earned through the ability to deliver secure, reliable services every day, including when conditions are at their worst.
Cyber incidents, infrastructure failures, and unexpected outages test more than an organization’s technology. They test whether the business can continue operating, whether commitments to clients can still be met, and whether leadership can make decisions with confidence. That is why cyber resilience has become a business trust issue, not simply an IT responsibility.
Backup Is Not the Business Outcome
Traditional data protection was often built around a straightforward question: Do we have a backup available if something goes wrong? That remains important, but it is no longer enough.
After a cyber incident, the existence of a backup does not prove that the data is clean, that the recovery environment is safe, or that the organization can restore the complete business process within the time the business requires.
A backup is an input. The outcome is a functioning business.
The question leaders should ask is not only whether data can be restored. It is whether clean, trusted data can be recovered into a production-ready environment quickly enough to protect operations, customers, and reputation.
This is the shift behind ResOps: treating resilience not as a collection of backup and recovery activities, but as a continuous operating discipline focused on keeping critical business services within acceptable levels of disruption. For CIOs, that means moving the conversation from “Do we have backups?” to “Can we prove the business can recover?”
Recovery Must Reflect How the Business Operates
Modern services do not run on one application or one infrastructure layer. Critical business applications rely on identity, databases, communication platforms, cloud infrastructure, and development environments. If one of those dependencies is unavailable, restoring the application alone may not restore the service.
This changes how leaders need to define recovery readiness. Recovery cannot be treated as a set of disconnected technical tasks. ResOps approach starts with the critical business services that must remain resilient, then maps the applications, data, identity, infrastructure, and other dependencies required to restore them within the disruption the business can tolerate.
At Persistent Systems, this means taking a structured approach to critical workloads and understanding the dependencies required to bring them back into operation. The goal is not to restore technology for its own sake. The goal is to maintain the ability to serve clients.
Prove Recovery Instead of Assuming It
ResOps treats resilience as a continuous operating discipline. It cannot be validated by an annual checklist or a successful backup report.
Organizations need to test recovery workflows regularly, recover into isolated environments, validate the integrity of the data, and confirm that recovered systems can support real business operations. As environments change, recovery playbooks also need to change. New applications, new integrations, and new threats can all make yesterday’s recovery plan incomplete.
Our work with Commvault supports this shift from traditional data protection toward continuous recovery readiness. Commvault Cleanroom provides an isolated environment in which teams can restore systems, scan for threats, validate data, and test recovery before returning workloads to production. That ability supports a core principle of ResOps: Recoverability should not be assumed; it should be continuously tested, validated, and demonstrated with evidence.
Measure Progress in Business Terms
A resilience strategy needs measurable proof. Persistent originally worked toward a 24-hour recovery target. Through a more structured and continuously tested approach, our current recovery range is closer to four to six hours for the end-to-end scenarios discussed in our recent testing.
This is where ResOps becomes tangible. The objective is not simply to conduct more recovery tests; it is to use each exercise to identify gaps, improve the recovery process, and measurably reduce the time and uncertainty between disruption and clean business operation.
That improvement matters because time is not just a technical metric during disruption. It affects client service, employee productivity, operational cost, decision-making, and reputation. The faster the organization can return to a clean and usable operating state, the more effectively it can limit the business impact of an incident.
Metrics should therefore be connected to business priorities. A ResOps discipline expands the measurement conversation beyond whether a restore succeeded to whether critical services can recover cleanly and within the disruption the business can tolerate. Recovery time, recovery point objectives, test frequency, data-integrity validation, and the percentage of critical workflows covered by tested playbooks all help leadership understand whether resilience is improving.
Trusted Data Matters Beyond Recovery
The role of cyber resilience platforms will continue to expand. As organizations put more data to work, including in artificial intelligence initiatives, they need to know that the data is clean, secure, governed, and accessed appropriately.
AI systems are only as reliable as the data behind them. Data integrity, classification, governance, and access control are therefore becoming part of a broader resilience standard. The same disciplines that help an organization recover confidently also can support safer and more responsible use of data for AI-driven initiatives.
This is another reason ResOps needs to evolve with the business: As critical services increasingly depend on AI, SaaS, cloud platforms, identities, and data pipelines, resilience has to encompass the full environment those services depend on.
Five Questions Every CIO Should Ask
Leaders do not need to manage every technical step, but they do need clear answers to the questions that determine whether the business is truly ready. These are also the questions that turn ResOps from a technology concept into an executive operating discipline:
- Which business services and workloads must be recovered first?
- Have we mapped the identity, application, database, cloud, and communication dependencies required to restore them?
- Can we recover and validate data in a clean, isolated environment before returning it to production?
- How frequently do we test the complete workflow, and how do we update the playbook when the environment changes?
- What measurable evidence can we show leadership that our critical services can recover within acceptable business tolerances – and that our recovery performance is improving?
Cyber resilience is ultimately about confidence: confidence that the organization can continue operating, confidence that client commitments can be protected, and confidence that the data supporting the business can be trusted. That confidence has to be earned through preparation, testing, and continuous improvement.
FAQs
Q: What is ResOps?
A: ResOps is a continuous operating discipline focused on keeping critical business services within acceptable levels of disruption. It moves resilience beyond individual backup and recovery activities toward continuously proving that the business can recover.
Q: Why are backups alone no longer enough for cyber resilience?
A: A backup confirms that a copy of data exists, but it does not prove that the data is clean, the recovery environment is safe, or the complete business process can be restored quickly enough. The real business outcome is the ability to return critical services to a trusted, usable operating state.
Q: Why should recovery planning focus on business services rather than individual applications?
A: Critical services typically depend on multiple interconnected technologies, including identity, databases, cloud infrastructure, communications, and development environments. Mapping these dependencies enables organizations to recover the complete service rather than restoring an application while leaving essential supporting systems unavailable.
Q: How can organizations prove that they are ready to recover from a disruption?
A: Organizations should regularly test complete recovery workflows in isolated environments, validate data integrity, scan for threats, and confirm that recovered systems can support actual business operations. Recovery playbooks also should evolve as applications, integrations, infrastructure, and threats change.
Q: How should CIOs measure recovery readiness?
A: CIOs should connect resilience metrics to business priorities, including recovery time, recovery point objectives, test frequency, data-integrity validation, and the percentage of critical workflows covered by tested playbooks. The objective is to demonstrate measurable improvement in how quickly and confidently critical services can return to operation.
Q: How does recovery readiness support AI and broader data initiatives?
A: AI systems depend on data that is clean, secure, governed, and appropriately accessed. The disciplines that support trusted recovery – including data integrity, classification, governance, and access control – also can support safer and more responsible use of data in AI-driven initiatives.
Debashis Singhis Chief Information Officer at Persistent Systems.
