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Securing Enterprise AI Agents with Rubrik Agent Cloud

Rubrik
06/25/2026
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They don't just suggest actions, they execute them. However, high velocity without a safety net is a liability. A single hallucination or breach can inflict ten times the damage in just one-tenth of the time. Right now, most enterprises are operating in the dark. No visibility, no governance, and no way to instantly recover from an autonomous disaster. It's time to bring order to your autonomous agents. Introducing Rubrik Agent Cloud. To secure the autonomous agents, we leverage the Rubrik AI Gateway or your existing gateways. You can deploy Rubrik AI Gateway in Rubrik's hosted SaaS infrastructure or directly within your own AWS or Azure environment. For your custom agents, this gateway acts as a secure proxy. We capture API calls to LLM providers such as OpenAI or Antropic via the gateway, logging activity, providing visibility, and governing their usage. Now, you finally have eyes on the conversation. Every completion, every action, or tool call, allowing you to bake in real-time guardrails before the agents go rogue. But what about closed systems? Once, we can't point to the AI gateway because they are fully hosted. For platforms like Microsoft Copilot Studio, we leverage native API integrations to ingest that same rich telemetry into one unified management layer. Another gap customers face isn't just their internal deployments, it's shadow AI. With so many tools just a click away, employees are downloading and installing new AI applications directly on their endpoints, thereby drastically increasing the risk of sensitive company data exposure. Well, Rubrik lets you see these too. We deploy a mobile device management script, aka MDM script, to your endpoints, whether it's on a desktop or laptop. We detect tools like Cursor or Cloud and funnel that activity data straight to the gateway. This centralized architecture powers auto-discovery. Rubrik Agent Cloud just doesn't find your agents, it catalogs them in a registry, identifying who owns them and what data they can access. This centralized architecture also automatically evaluates risk. If an agent has the power to write, update, or delete data, it's flagged as high risk. Visibility is just the beginning. Rubrik Agent Cloud features a powerful policy engine that enables you to define governance in natural language. Our AI-driven editor analyzes your intent, helping you refine the rules for policies to ensure they are robust, enforceable, and directly aligned with your business requirements. You can even validate your policy against sample prompts to see exactly how it will react before it goes live. We call it the crawl-walk-run approach. Start by monitoring activity to generate alerts for suspicious behavior without disrupting the workflow. When you're ready, flip the switch to real-time blocking. The gateway will actively intercept, log, and block any API call or agent action that violates your policy. The logs can be used for reporting and compliance purposes. If an agent goes rogue, you can activate Agent Rewind, the industry's sole solution for precise recovery to instantly restore trust. By integrating with Rubrik Security Cloud, we provide surgical recovery, restoring only the impacted object files. Rubrik maintains a forensic log of every agent action, enabling us to surgically restore just the objects that the rogue agent modified or deleted. Rubrik Security Cloud provides immutable recovery built on Rubrik's Cyber Resilience Foundation to keep operations running confidently after an agent error or compromise. Today, organizations are forced to choose between increasing business efficiency by quickly deploying AI tools while ignoring risk or taking a security-first approach and falling behind the competition. With Rubrik, you get speed without risk. You can now secure your autonomous agents with Rubrik Agent Cloud. And hey, don't just take our word for it. Visit rubrik.com forward slash explore forward slash demo today to learn more about the capabilities of Rubrik Agent Cloud and Rubrik Security Cloud. You can take one of our self-guided hands-on labs to see Rubrik in action. Thanks for watching.

TL;DR

  • Rubrik Agent Cloud provides centralized visibility and governance for autonomous AI agents across enterprise environments, addressing the risk of agents executing actions without oversight or recovery mechanisms.
  • The platform uses the Rubrik AI Gateway to capture API calls to LLM providers, native integrations for closed systems like Microsoft Copilot Studio, and MDM scripts to detect shadow AI on endpoints.
  • A natural language policy engine enables organizations to define governance rules with a crawl-walk-run approach, progressing from monitoring to real-time blocking of unauthorized agent actions.
  • Agent Rewind offers surgical recovery capabilities by maintaining forensic logs of agent actions and restoring only impacted objects through integration with Rubrik Security Cloud's immutable recovery infrastructure.

Visibility and Governance for Autonomous AI Agents

This product demonstration introduces Rubrik Agent Cloud, a solution designed to address the security and governance challenges posed by autonomous AI agents operating across enterprise environments. The video explains how organizations currently lack visibility into AI agent actions, creating risk exposure when agents execute tasks without oversight. Rubrik Agent Cloud provides a centralized registry that catalogs all AI agents, identifies their owners, and assesses their data access permissions. The platform leverages the Rubrik AI Gateway to capture API calls to LLM providers like OpenAI and Anthropic, logging activity and enabling real-time governance. For closed systems like Microsoft Copilot Studio, native API integrations ingest telemetry data into a unified management layer. The solution also addresses shadow AI by deploying MDM scripts to endpoints, detecting tools like Cursor or Claude, and funneling activity data to the gateway for comprehensive visibility across all AI deployments.

Policy-Based Controls and Agent Rewind Recovery

Beyond visibility, Rubrik Agent Cloud features a policy engine that allows organizations to define governance rules in natural language. The AI-driven editor helps refine policies to ensure they are enforceable and aligned with business requirements, with the ability to validate policies against sample prompts before deployment. The platform supports a crawl-walk-run approach, starting with monitoring and alerting before progressing to real-time blocking of policy violations. When an agent goes rogue, Agent Rewind provides surgical recovery capabilities by integrating with Rubrik Security Cloud. The system maintains a forensic log of every agent action, enabling precise restoration of only the objects that were modified or deleted by the compromised agent. This immutable recovery is built on Rubrik's Cyber Resilience Foundation, allowing organizations to maintain operational continuity after agent errors or security compromises while balancing business efficiency with security requirements.

Chapters

0:00 - The AI Agent Security Challenge
0:38 - Introducing Rubrik Agent Cloud
1:27 - Handling Closed Systems and Shadow AI
2:24 - Auto-Discovery and Risk Assessment
2:51 - Policy Engine and Governance Controls
3:46 - Agent Rewind Recovery Capabilities

Key Quotes

0:11 "However, high velocity without a safety net is a liability."
0:23 "Right now, most enterprises are operating in the dark. No visibility, no governance, and no way to instantly recover from an autonomous disaster."
3:46 "If an agent goes rogue, you can activate Agent Rewind, the industry's sole solution for precise recovery to instantly restore trust."
4:30 "Today, organizations are forced to choose between increasing business efficiency by quickly deploying AI tools while ignoring risk or taking a security-first approach and falling behind the competition."

FAQ

How does Rubrik Agent Cloud handle AI agents in closed systems that can't be pointed to the AI Gateway?

For closed platforms like Microsoft Copilot Studio that are fully hosted and can't use the AI Gateway, Rubrik leverages native API integrations to ingest the same rich telemetry data into the unified management layer, ensuring comprehensive visibility across all agent types.

What is the crawl-walk-run approach for implementing AI governance policies?

The crawl-walk-run approach allows organizations to start by monitoring agent activity and generating alerts for suspicious behavior without disrupting workflows. When ready, they can progress to real-time blocking where the gateway actively intercepts and blocks any API call or agent action that violates defined policies.


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