Rubrik, the Security and AI Operations Company, announced Rubrik Agent Identity, a powerful new AI-based solution to manage and control AI agents’ access and permissions, addressing a key obstacle in enterprise agent deployment.
AI agent deployments are rapidly evolving, with the potential to execute complex, automated workflows across SaaS applications, databases, and APIs at unprecedented speed and scale. Yet most organisations lack the capability to monitor and control agent access and actions at the necessary speed and scale.
Rubrik Agent Identity is designed to reduce operational vulnerabilities that stem from agent identities by allowing customers to both monitor every agent and model context protocol (MCP) at runtime using AI, and to deliver just-in-time permissions per tool call.
“Agents are no longer just synthesizing information, they are acting on behalf of employees, and using the access models we built for humans. Static credentials were never designed for autonomous actors,” said Dev Rishi, General Manager of AI at Rubrik.
“Agent Identity lets enterprises decide who can do what with agents and enforces it at each tool call, at the moment of action, with scoped, short-lived access. With Rubrik Agent Cloud, enterprises can govern agent activity, enforce identity-aware policies, and apply semantic policy evaluation before sensitive actions execute,” he added.
Control AI Identity with AI
Modern AI creates an unmonitored “shadow workforce” that bypasses traditional security boundaries. Because these systems often rely on broad, static credentials, a single compromised agent can trigger destructive, system-wide actions with zero visibility.
According to recent data from Rubrik Zero Labs, 86% of global IT and security leaders expect AI agents to outpace their organization’s security guardrails within the next year, while only 23% report full visibility into the agents operating in their environments.
Rubrik Agent Identity, delivered as an expansion of the Rubrik Agent Cloud platform, establishes a unified “Govern, Control, and Prove” model across the entire agent lifecycle. The new solution operates alongside Rubrik’s established SAGE governance framework, and now provides four distinct Rubrik Agent Cloud pillars:
Secure the Moment of Action: Rapid Posture Hardening in Three Steps
The architecture introduces key capabilities designed to help enterprises rapidly harden their agentic identity posture:
● Build an Agent Identity Inventory: Discover and catalog all active AI agents, MCP servers, skills, and plugins to immediately eliminate unmonitored shadow AI.
● Delegate Least-Privilege Access: Scope access to specific MCP servers and tools by user and group using On-Behalf-Of federation, extending existing enterprise identity structures rather than replacing them.
● Enforce with Just-In-Time Tokens: Eliminate standing permissions entirely by minting scoped, short-lived tokens per tool call, ensuring access is validated at runtime before execution.
Enforce Runtime Access Control at the MCP Gateway
To prevent malicious or erroneous actions before they occur, every MCP tool call must clear three distinct checkpoints before execution:
If an unauthorized action is attempted, such as a write or modification without an explicit policy scope, the transaction is immediately blocked before execution. For unexpected agent behaviors, Agent Rewind instantly and precisely undoes an autonomous agent’s destructive action., addressing the widespread industry concern where 88% of leaders worry about meeting recovery time objectives as agentic threats scale.
Strategic Ecosystem Integrations
Rubrik Agent Identity integrates seamlessly with Okta and Microsoft Entra ID, extending existing enterprise identities to autonomous machine actors without requiring new directories. The MCP Gateway provides a unified security checkpoint for all API-based and MCP resources across the enterprise. Ultimately, Rubrik Agent Identity advances the company’s vision to deliver Agentic Cyber Resilience to our customers, helping them keep pace with machine-speed attacks powered by frontier AI models.
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