AI Identity Security Compliance Checklist

Agentic AI is redefining identity security. While 91% of organizations are deploying autonomous agents, nearly half lack formal oversight. To bridge this gap, enterprises must integrate agents into existing identity frameworks, applying the same rigorous standards used for humans.

This checklist provides a unified strategy to move from shadow AI to a secure, enterprise-scale architecture by focusing on two pillars:

1. Secure production-ready AI agents: Move from AI pilot to secure production faster with agent interactions tied to human intent that are fully auditable.

2. Govern all agents through a unified control plane: Establish centralized visibility and control to secure the end-to-end lifecycle of agents across your environment.

 

Secure production-ready AI agents

Authenticate

Authentication

Traditional Approach: Agents act under a shared, generic identity (e.g., service account) with no direct link to a human user.

Unified Identity Platform Capability: Enforce sign-in via standard protocols (OIDC/ OAuth 2.0) to help ensure every agent session is initiated by a verified human identity. This prevents agents from acting under shared, generic identities and helps ensure accountability.

 

Authorize

Fine-grained authorization

Traditional Approach: Agents inherit broad, "all-or-nothing" read access to knowledge bases (over-privileged).

Unified Identity Platform Capability: Implement granular, relationship-based authorization for Retrieval-Augmented Generation (RAG) systems so agents only retrieve resources the specific user is permitted to see. By mapping agent scopes to the authenticated human’s permissions, you help eliminate privilege escalation, even if an agent's logic is compromised.

 

Human-in-the-loop authorization

Traditional Approach: Critical actions are either fully autonomous (risky) or blocked synchronously (slow/disruptive).

Unified Identity Platform Capability: Require async approval for sensitive operations (e.g., deleting a database or spending >$1,000) using CIBA (Client-Initiated Backchannel Authentication) with Rich Authorization Request (RAR). This sends a real-time mobile authorization request for a specific action, creating a verifiable audit trail for security teams.

 

Token exchange

Traditional Approach: The chain of user identity is broken as the agent calls downstream APIs and systems.

Unified Identity Platform Capability: Share the user’s identity in a more secure manner across different applications and trust domains. This maintains a verifiable link between the agent's actions and the human user, keeping the chain of user identity intact as the agent calls downstream APIs.

 

Secure

Token vaulting

Traditional Approach: Tokens stored in configuration files or source code, creating risks of leakage in logs or LLM conversational outputs.

Unified Identity Platform Capability: Help eliminate credential leakage by securely storing OAuth tokens for third-party apps, APIs and MCP servers in a dedicated vault. Automatically refresh credentials so they do not appear in application code, logs, or LLM conversational outputs.

 

Govern all agents through a unified control plane

Discover

Agent detection & registry

Traditional Approach: Manual spreadsheets; blind spots regarding "Shadow AI" and rogue agents.

Unified Identity Platform Capability: Discover rogue agents across cloud and SaaS platforms. This reduces "Shadow AI" blind spots where unmanaged, over-privileged agents can otherwise act as invisible entry points for attackers. Then, bring agents into your user directory and assign a unique identifier, owner, and documented purpose for each agent. Explicitly defining ownership and intent eliminates anonymity, making it possible to audit agent behavior.

 

Onboard

Privileged credentials

Traditional Approach: Static credentials used indefinitely; rotation happens only after a breach.

Unified Identity Platform Capability: Secure agent credentials via a centralized vault and rotate them automatically (e.g., every 90 days). Treating secrets as ephemeral rather than static reduces the exploitation window for compromised credentials.

 

Access control

Traditional Approach: Coarse-grained roles where agents inherit broad user permissions.

Unified Identity Platform Capability: Implement granular, least-privilege permissions specifically tailored to each agent. Defining agent-specific access policies helps prevent lateral movement into sensitive systems outside its immediate scope.

 

Lifecycle management

Traditional Approach: Ineffective onboarding and manual reviews; obsolete agents retain access indefinitely.

Unified Identity Platform Capability: Automate onboarding, access reviews, certifications, and deprovisioning to validate that permissions remain aligned with task requirements, helping maintain security across every stage of the agent's existence.

 

Protect

Universal logout

Traditional Approach: Manual investigation and fragmented revocation across different apps.

Unified Identity Platform Capability: Implement immediate, cross-system revocation of sessions and access tokens when a threat is detected. Rapid containment helps prevent lateral movement across integrated SaaS and APIs while providing detailed logs for investigation.

 

Bringing it all together: identity as the foundation of control

In the age of autonomous AI, identity serves as the central control plane that unifies visibility, control, and governance of human and non-human identities across your environment. By treating agents as first-class identities, organizations can bridge the governance gap and scale AI with confidence.