Pontos principais
- A proliferação de agentes representa um risco de governança. À medida que os agentes de IA se multiplicam, a visibilidade fragmentada e os fluxos de trabalho de recuperação desconectados podem criar uma exposição operacional real.
- O AI Protect unificará a detecção, o monitoramento e a recuperação orientada de agentes e suas dependências em todas as plataformas, em uma única experiência centrada no agente.
- O AI Protect será projetado não apenas para avaliar se os ativos estão protegidos, mas também para ajudar a proteger a pilha de agentes e identificar riscos com base no que os agentes estão acessando e realizando.
- 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.
O problema da governança no cerne da IA agentiva
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:
- Visibilidade fragmentada: as APIs dos hyperscalers e as ferramentas de observabilidade oferecem visões parciais e isoladas da atividade dos agentes. Não existe uma visão única que relacione o comportamento dos agentes com a proteção de dados, os riscos e a recuperação em todas as plataformas.
- Ausência de contexto de proteção: as equipes de proteção de dados não conseguem determinar facilmente se os ativos afetados por agentes de IA estão devidamente protegidos ou se são recuperáveis.
- Sinais de risco pouco evidentes: a atividade dos agentes pode gerar uma enorme quantidade de dados de telemetria, mas, sem uma correlação entre identidade, acesso e impacto, distinguir a automação inofensiva de comportamentos de alto risco continua sendo uma tarefa manual.
- Recuperação descoordenada: quando alterações iniciadas por agentes causam problemas, rastrear o impacto e iniciar a recuperação pode exigir uma correlação manual entre ferramentas, aumentando o tempo necessário para a resolução.
Apresentamos o 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.
Descubra: um inventário único e confiável de agentes
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.
Proteger: Preenchendo as lacunas de cobertura antes que se transformem em incidentes
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: Transformando dados de telemetria em sinais de risco que permitem agir
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.
Recuperação: Recuperação guiada diretamente vinculada ao impacto do 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 de uma visão mais ampla de resiliência em IA
O AI Protect será um dos três recursos anunciados pela Commvault como parte de uma platform mais ampla de resiliência com IA. DataAtivar dados 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.
Perguntas frequentes
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.