Threat Model: Agent Credential Theft
How AI agent credentials get stolen and abused, and the controls that limit blast radius: credential scoping, short lifetimes, rotation, and fast revocation.
SSO, SCIM, MFA, RBAC, and tenancy — who can touch your AI systems, and how.
A complete guide to identity and access management for AI: human SSO, SCIM, MFA, RBAC, agent identity, scoped credentials, least privilege, and revocation.
Read the guide →How AI agent credentials get stolen and abused, and the controls that limit blast radius: credential scoping, short lifetimes, rotation, and fast revocation.
Apply least privilege to AI agents with scoped credentials, per-connection policies, and delegation constraints that shrink your blast radius.
Why AI agents need first-class identity and how to model it so every action is attributable, governed, and revocable without disrupting other systems.
How to authenticate AI agents using API keys, short-lived tokens, and scoped credentials — so every agent action is attributable and revocable.
SSO and SCIM give enterprises full control over AI tool access — federated authentication plus automated lifecycle management that keeps access current.
RBAC governs who can configure agents; ABAC governs what agents can do per request. Learn which model fits each authorization decision on an AI platform.
How splitting user self-service from admin controls reduces the attack surface of an AI platform and keeps account hygiene manageable at scale.
Per-org security policies let tenants enforce password complexity, session timeouts, MFA mandates, and IP allow-lists — enforced server-side on every request.
Fine-grained RBAC and custom roles let AI operations teams enforce least privilege across agents, workflows, and security settings — without broad admin grants.
Teams add a functional access layer beneath org-level roles — scoping agents, enforcing per-team budgets, and integrating with SCIM for automated provisioning.
How multi-tenant org isolation protects AI agents and data, with invite flows, role lifecycle, and layered enforcement that prevents cross-tenant data leakage.
SCIM 2.0 automates user lifecycle for AI platforms — collapsing the access-change window from days to minutes and enforcing token revocation on deprovision.
How enterprise SSO with SAML and OIDC maps IdP identities into org-scoped access for AI platforms — and why federated authentication matters for AI tooling.
Passkeys eliminate phishing risk on AI control planes by binding credentials to the device. How the WebAuthn ceremony works and what to verify in any platform.
How TOTP and backup codes protect AI control planes from credential theft, plus forced enrollment, step-up auth, and replay prevention for high-risk agent actions.
How a unified identity layer authenticates users, apps, AI agents, and MCP servers through one governed front door with MFA, scoped credentials, and audit logging.