Recently, Rubrik, a security and AI operations company, made a series of announcements, including new partner integrations and a new agentic-first AI platform.
The announcements represent Rubrik’s ongoing commitment to ensuring enterprises are agentic-ready and resilient. You can read more about the announcements here.
In light of these new announcements, below is a Q&A with Dev Rishi, GM of AI at Rubrik.
- Rubrik Agent Cloud introduces “Agent Rewind” for Claude-powered agents. How does this differ from traditional rollback or version-control mechanisms, and what types of agent-driven mistakes is it designed to address?
- The new SAGE governance engine is positioned as intent-driven governance rather than static oversight. Can you explain how SAGE evaluates agent behavior in real time and what makes this approach more effective for enterprise AI deployments?
- Rubrik AI is described as reasoning, acting, and recovering at machine speed. What specific recovery or incident response tasks can Rubrik AI autonomously perform today, and where does human oversight remain essential?
- Autonomous Business Recovery for Cloud Applications expands recovery beyond data to include networking, IAM, compute, and configurations. Why is recovering the entire application stack increasingly important, and what challenges does ABR solve that conventional back and recovery tools often miss?
- Gartner is predicting significant growth in CAIRS solutions by 2030 – how do you see the market evolving, and what differentiates Rubrik’s approach to cloud application resilience from emerging competitors in this space?
Rubrik Agent Cloud introduces “Agent Rewind” for Claude-powered agents. How does this differ from traditional rollback or version-control mechanisms, and what types of agent-driven mistakes is it designed to address?
Rubrik Agent Rewind is designed specifically for agent-driven environments. Unlike traditional governance tools that focus solely on visibility or rely on full system resets, Rubrik Agent Rewind can reverse unintended agent actions across systems and applications, even down to the deletion of entire databases.
As the industry’s first “undo button” for AI, it lets teams instantly roll back unintended or catastrophic changes to data assets and restore a known-good state, preventing cascading operational failures.
With its recent integration, the solution can now precisely reverse actions from Anthropic environments like Claude Code and Cowork.
The new SAGE governance engine is positioned as intent-driven governance rather than static oversight. Can you explain how SAGE evaluates agent behavior in real time and what makes this approach more effective for enterprise AI deployments?
Traditional AI governance relies on rigid rules and simple keyword matching, a static approach that struggles with the dynamic nature of AI agents. SAGE replaces this with intent-driven governance.
Powered by a proprietary Small Language Model (SLM) purpose-built for governance tasks, SAGE translates natural language business policies into enforceable logic. Rather than just checking for banned words, SAGE continuously monitors agent activity across workflows, permissions, and outputs.
It evaluates the semantic meaning and intent behind both the organization’s policies and the agent’s real-time actions, allowing it to identify rogue agent behavior with higher accuracy.
Built on a low-latency architecture, SAGE provides real-time policy enforcement, blocking undesired or dangerous actions before they happen.
If an agent somehow manages to make a destructive misstep, the platform integrates directly with Rubrik Agent Rewind to instantly undo the action and restore SAGE operations.
As a result, governance can operate at the same speed as agents without slowing deployment.
Rubrik AI is described as reasoning, acting, and recovering at machine speed. What specific recovery or incident response tasks can Rubrik AI autonomously perform today, and where does human oversight remain essential?
Rubrik AI can autonomously reason, act, and execute orchestrated recovery workflows across data, identity, and deployed agents.
It handles complex, multi-step recovery sequences that previously took human teams weeks, but can now be completed in minutes, enabling full-stack restoration at machine speed.
While this automation is incredibly fast, human oversight remains essential for defining recovery objectives, validating critical decisions during high-impact incidents, and setting the policy guardrails that dictate when and how the AI is allowed to act.
Autonomous Business Recovery for Cloud Applications expands recovery beyond data to include networking, IAM, compute, and configurations. Why is recovering the entire application stack increasingly important, and what challenges does ABR solve that conventional back and recovery tools often miss?
Modern cloud applications depend on tightly connected components such as compute, data, networking, identity and access management, and configuration, meaning that restoring individual resources is no longer sufficient to bring a business back online.
ABR for Cloud Applications addresses this gap by automatically discovering the full application environment and mapping its dependencies.
The solution applies consistent protection across the entire stack so nothing is missed during an incident and then orchestrates a sequenced rebuild from a pre-validated clean point.
As a result, organizations can restore their Minimum Viable Business (MVB) at machine speed, avoiding the fragmented recovery and dependency gaps common in traditional backup and recovery tools.
Gartner is predicting significant growth in CAIRS solutions by 2030 – how do you see the market evolving, and what differentiates Rubrik’s approach to cloud application resilience from emerging competitors in this space?
The market is moving away from legacy tools that back up isolated resources toward full-stack resilience designed for the AI era and Rubrik is already built for this shift. Our approach focuses on preemptive recovery, dependency-aware orchestration, and agentic automation that restores complete business functionality rather than individual infrastructure components.
By handling the recovery planning and validation upfront during peacetime, restoration can be executed instantly and in the correct sequence when an incident occurs.
Among the announcements Rubrik made this week is Project Hourglass, an alliance with GSIs to deliver Rubrik Agent Cloud for Anthropic’s Claude Code to their enterprise clients. Read more about Project Hourglass and the other announcements Rubrik has made to expand AI resilience.