Key Features
Explore the primary features and outcomes enabled by Agent Identity Security.
The table below describes the primary outcomes Agent Identity Security supports and references the relevant product functional areas.
| Use Case | What Agent Identity Security Enables |
|---|---|
| AI agent discovery and inventory | Discover AI agents across supported enterprise environments and consolidate them into the Agent Registry and AIBOM. (Integrations / Registry & AIBOM) |
| Agent identity, access, and risk governance | Understand agent ownership, associated users, credentials, access relationships, posture, and risk. (Registry / Govern) |
| AI resource governance | Maintain visibility and governance context across models, skills, MCP servers, users, credentials, and connections. (Registry / AIBOM) |
| Continuous agent posture assessment | Continuously evaluate supported agent configuration and security posture conditions, and identify changes that need attention. (Govern / Agent Posture) |
| Runtime agent access control | Define and enforce what agents can do across MCP, file, package, web, and terminal resources using Allow, Deny, or Require Approval. (Secure / Agent Policies) |
| Secure MCP access | Route supported agent-to-MCP interactions through the Agent Identity Security MCP Gateway for authentication, access enforcement, response protection, and auditability. (Secure / MCP Gateway) |
| Agent lifecycle via workflows | Use workflows to orchestrate lifecycle-related governance actions such as ownership assignment or transfer, agent disablement, token revocation, notifications, and approvals. (Govern / Workflows) |
| Compliance and audit | Assess agents against supported compliance frameworks, connect controls with posture findings, and maintain activity and security records for investigation and audit. (Govern / Compliance & Event Logs) |
