AI Agent Identity and Access Management

A compromised human account typically exposes one department's systems. A compromised AI agent can expose CRM, email, databases, financial systems, and communication platforms simultaneously — because that's exactly what agents are designed to connect to. Identity-based attacks increased 583% year-over-year according to CrowdStrike, and AI agents are a particularly attractive target.

Yet 64% of organizations have agents running under shared service accounts, human credentials, or root-level tokens (Thales 2024). This makes it impossible to attribute actions to specific agents, enforce agent-specific policies, or revoke one agent's access without affecting others.

Agent IAM requires a purpose-built approach: discrete identities per agent, dynamic access control that adapts to the current task, authentication mechanisms built for high-frequency automated operations, privilege escalation prevention through hard technical controls (not just prompt instructions), and active lifecycle management including decommissioning. The stakes are high enough that getting this wrong doesn't just mean a security incident — it means a security incident across every system your agent touches.

Every agent gets its own identity — distinct from human accounts and from other agents. Create in your identity provider (Azure AD, Okta, AWS IAM) with a unique ID, descriptive name (customer-support-agent-tier1), owner, operator, risk classification, authorized scope, and creation/review dates.

For multi-agent systems, each agent within the system needs its own identity. An orchestrator authenticates separately from each worker. Workers authenticate independently when accessing external services. This enables precise access control, detailed audit trails, and targeted incident response.

Treat agent identities with the same rigor as human identities: regular access reviews, periodic recertification, automatic deactivation on decommission.

Passwords and MFA don't work for agents. Use cryptographic mechanisms: mutual TLS for agent-to-service communication (both sides present certificates), OAuth 2.0 client credentials grant for API access (scoped tokens, short expiration), and workload identity federation (SPIFFE/SPIRE) for dynamic distributed environments.

For agent-to-agent communication in multi-agent systems: implement a trust framework. The orchestrator authenticates every worker before delegating. Workers verify instructions come from an authorized orchestrator. This prevents compromised components from impersonating legitimate agents.

Each agent's certificate should be unique, issued by your CA, with automatic rotation before expiration. API tokens should have minimum necessary scopes and the shortest practical expiration.

41% of organizations have orphaned service accounts from decommissioned apps still accessing production (SailPoint 2024). AI agents are especially susceptible because they're often deployed fast and retired without formal decommission.

Onboarding: identity created, access policies configured and approved, credentials generated and securely stored, agent registered in governance registry. No production access until complete.

Decommissioning: identity disabled, all credentials revoked, all tokens invalidated, sessions terminated, data access removed from downstream systems, registry entry marked decommissioned, audit logs archived. Set alerts for any auth attempt from decommissioned identities — it means the agent is still running somewhere or its credentials are compromised.