Punti di forza
- La proliferazione degli agenti rappresenta un rischio per la governance. Con la diffusione degli agenti di intelligenza artificiale, una visibilità frammentata e flussi di lavoro di ripristino scollegati tra loro possono creare una reale vulnerabilità operativa.
- AI Protect unificherà l’individuazione, il monitoraggio e il ripristino guidato degli agenti e delle loro dipendenze su tutte le piattaforme, in un’unica esperienza incentrata sugli agenti.
- AI Protect sarà progettato non solo per valutare se le risorse sono protette, ma anche per contribuire a proteggere lo stack degli agenti e identificare i rischi in base alle operazioni eseguite dagli agenti e alle risorse con cui interagiscono.
- AI Protect will be built on Commvault’s resilience platform – meaning recovery can be tied directly to agent-initiated impact across both data and environments.
- AI Protect will be part of a broader platform that supports the AI resilience lifecycle – from safely activating data to governing, building, and recovering agentic workflows.
AI agents are no longer a future-state experiment. They’re running in production environments today – querying data, triggering workflows, and making decisions at machine speed. For most enterprises, that’s happening faster than governance frameworks can keep up.
The problem isn’t enthusiasm for AI. It’s the gap between deploying agents and actually knowing what those agents are doing, what data they’re touching, and what to do when something goes wrong. That gap is what Commvault AI Protect will be designed to close.
Il problema della governance al centro dell’IA agentica
As organizations scale their AI investments, a new class of operational risk is emerging. AI agents aren’t just tools – they’re autonomous actors that can access sensitive data, interact with critical systems, and trigger cascading changes. Without a clear way to discover, monitor, and govern them, IT and security teams may be flying blind.
The symptoms are familiar:
- Visibilità frammentata: le API degli hyperscaler e gli strumenti di osservabilità offrono una visione parziale e compartimentata dell’attività degli agenti. Non esiste una visione d’insieme che colleghi il comportamento degli agenti alla protezione dei dati, alla gestione dei rischi e al ripristino su tutte le piattaforme.
- Assenza di un contesto di protezione: i team incaricati della protezione dei dati non riescono a stabilire con facilità se le risorse gestite dagli agenti di IA siano adeguatamente protette o recuperabili.
- Segnali di rischio deboli: l’attività degli agenti può generare enormi quantità di dati telemetrici, ma in assenza di una correlazione tra identità, accesso e impatto, distinguere l’automazione innocua dai comportamenti ad alto rischio rimane un’operazione manuale.
- Ripristino non coordinato: quando le modifiche avviate dagli agenti causano problemi, tracciare l’impatto e avviare il ripristino può richiedere una correlazione manuale tra i vari strumenti, allungando i tempi di risoluzione.
Vi presentiamo Commvault AI Protect
AI Protect will be designed to offer centralized visibility, protection context, risk evaluation, and guided recovery for AI agents – across enterprise, SaaS, and cloud environments. It will extend Commvault’s existing discovery, protection, and recovery capabilities with agent-centric context, helping teams operate AI agents safely and recover quickly when issues arise.
Scopri: un unico inventario di agenti attendibile
AI Protect will be designed to discover AI agents (and their dependencies) operating across connected environments on a recurring basis, helping maintain a unified, up-to-date inventory based on configurable discovery cadence. Each agent record will capture its execution environment and the data sources, models, configurations, applications, and infrastructure it interacts with. It will help provide a complete, cross-environment picture of what’s running and what it touches.
Proteggere: colmare le lacune nella copertura prima che si trasformino in incidenti
AI agents interact with sensitive data and systems, but traditional protection tools don’t evaluate coverage in the context of agent behavior. AI Protect will be designed to surface protection status for every agent-touched asset – protected, partially protected, or not protected – and help identify gaps introduced by agent activity. Where gaps exist, it will offer recommended actions and protection workflows to enable teams to close them.
Monitor: trasformare i dati telemetrici in segnali di rischio utilizzabili
AI Protect will ingest agent activity from existing audit, event, and telemetry sources and present it in agent-centric context – not as raw logs. A time-ordered activity timeline will show what each agent has done and when, and risk signals will be automatically flagged and categorized when agents access sensitive data, interact with unprotected assets, or exhibit unusual patterns. This will help teams move from reactive triage to proactive awareness.
Recupero: recupero guidato direttamente correlato all’impatto dell’agente
When an agent-initiated change causes an issue, AI Protect will surface recovery point availability for impacted assets and guide teams through the appropriate recovery action – whether that’s restoring data, applications, or configurations. Recovery will be scoped directly to the agent’s impact, not generic incidents, and every action will be time-stamped.
In addition, teams will be enabled to recover the full AI stack – not just the model, but the connected data, configurations, and underlying systems that support it – helping restore the entire environment to a known good state with a single, guided action.
Parte di una visione più ampia della resilienza nell’ambito dell’intelligenza artificiale
AI Protect sarà una delle tre funzionalità annunciate da Commvault nell’ambito di una più ampia platform di resilienza basata sull’intelligenza artificiale. DataAttiva dati enables organizations to classify and curate data from protected backup copies and prepare governed datasets for use with LLMs and AI pipelines – publishing updates on a recurring schedule aligned with backup policies, in formats like Apache Iceberg and Parquet, with sensitive data filtered out before activation.
AI Studio will enable enterprises to deploy ready-made agents and build custom ones – without writing code. Using a natural language–based Agent Builder, administrators will be able to describe operational intent in plain language, review the proposed workflow, refine it, and deploy it as a governed custom agent from a single interface. AI Studio will be designed to leverage Commvault’s MCP server and integrate with other enterprise applications via MCP, enabling workflows to extend smoothly across systems.
Together, the three capabilities will cover the arc of AI resilience: helping safely activate trusted data, govern and recover agents in production, and build the agentic workflows operations actually require.
Domande frequenti
Q: What is Commvault AI Protect?
A: AI Protect is slated to be a governance and resilience solution for AI agents operating across enterprise, SaaS, and cloud environments. It will be designed to automatically discover agents and dependencies, surface protection gaps for the assets they touch, monitor and provide guided recovery workflows when agent-initiated changes cause issues.
Q: How will this be different from general AI observability or monitoring tools?
A: Most observability tools surface telemetry but stop short of connecting agent activity to data protection and recovery. AI Protect will be designed to correlate agent behavior with protection coverage and recovery readiness, and when something goes wrong, provide a guided path to help restore data, configurations, or systems impacted by agent activity.
Q: What environments will AI Protect support?
A: AI Protect will be designed to work across hyperscaler environments (AWS, Azure, Google Cloud), SaaS platforms, and internal enterprise systems – offering a unified, cross-environment view of agent activity and impact.
Q: How will AI Protect identify risk?
A: Risk signals will be derived by correlating agent activity with data access patterns, sensitivity of assets involved, and protection coverage. Rather than raw log analysis, AI Protect will present risk in agent-centric context – flagging specific agents and interactions that warrant attention, along with the reason they were flagged.
Q: How will recovery work?
A: AI Protect will surface recovery point availability for assets impacted by agent activity and guide teams through the appropriate recovery action – whether that’s restoring data, applications, or configurations. Recovery actions will be scoped to agent-initiated impact and will be fully auditable.
Q: How will AI Protect relate to AI Studio and Data Activate?
A: All three will be part of Commvault’s next-generation AI capabilities. Data Activate governs how data is prepared and activated for AI use. AI Protect will govern agents operating in production. AI Studio will enable teams to build and manage custom agentic workflows. Together, they will form an end-to-end AI resilience lifecycle.
Teja Medasani is Principal Product Manager at Commvault and Vir Choksi is Principal Product Marketing Manager at Commvault.