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Identify AI agents, map what they can access, and surface access risks to eliminate blind spots.
Discovery and risk insights
Automatically discover agents and their associated identities with detailed risk insights.
Access path
Visualize how your AI agents connect with LLMs, MCP servers, knowledge bases, and other resources.
Behavior baselining
Learn what normal looks like for AI agents by continuously monitoring behavior and access patterns.
Timeline view
Track every AI agent change in a timeline with a clear summary of each change.
Learn how Saviynt is recognized as a leader in securing today’s AI landscape.

Proactively identify access risks and stay audit-readiness for all identities, including humans, machines, MCP servers, AI agents, and more.

An AI agent isn’t defined by a single identity — it’s composed of many. Each brings its own access patterns, lifecycle requirements, and security risks. These identities can consume sensitive data, initiate actions, and operate autonomously.
With AI, enterprises must now account for new classes of identities: