Governing Google Vertex AI Agent Engine Deployments
What Vertex AI Agent Engine's IAM-based identity and logging cover for agents on Google Cloud, and where multi-cloud and MCP-connected tools fall outside it.
SSO, SCIM, MFA, RBAC, and tenancy — who can touch your AI systems, and how.
Identity and access for AI agents: the NHI lifecycle — ephemeral scoped credentials, rotation, revocation — plus the human IAM that governs operators.
Read the guide →What Vertex AI Agent Engine's IAM-based identity and logging cover for agents on Google Cloud, and where multi-cloud and MCP-connected tools fall outside it.
What Azure AI Foundry's native identity and monitoring controls cover for agents, and where cross-cloud and cross-SaaS governance gaps remain.
The Claude Agent SDK evaluates tool permissions in a strict six-step order, with a documented subagent inheritance gotcha. What the official docs say to check.
Vercel confirmed a breach traced to one employee's 'Allow All' OAuth grant to an AI tool. Why this is an identity failure, not a code vulnerability.
AgentCore Identity reached GA in October 2025, built on Cognito for agent workloads. What it covers on AWS, and where cross-cloud identity still needs help.
NHI-to-human ratios cited in 2026 range from 45:1 to 144:1. The spread reflects different measurement scopes, not disagreement over the trend.
Okta for AI Agents reached GA in April 2026. What the identity layer covers, and what independent governance still needs to add for a mixed estate.
Evaluating alternatives to Entro Security for secrets-centric non-human identity governance and how it compares to broader NHI platforms.
OAuth 2.0 Token Exchange (RFC 8693) is the standard mechanism for on-behalf-of agent authorization. Learn the flow, the claims that matter, and the constraints that keep delegation from becoming escalation.
Workload identity gives an agent's runtime a cryptographic identity with no secret to steal. Learn where SPIFFE and mTLS fit, what they do not cover, and how they compose with agent-level identity.
Evaluating Oasis Security alternatives for non-human identity lifecycle management, including how it compares to Astrix and platform-native options.
Why AI agents need first-class identity and how to model it so every action is attributable, governed, and revocable without disrupting other systems.
An orchestrator that shares its credentials with sub-agents has no delegation model. Learn how to pass narrowed authority down a chain, bound the depth, and keep attribution intact.
Agent credentials live in more places than human credentials and last longer. Learn how agent sessions get hijacked, how tokens get replayed, and the binding techniques that stop both.
Standing production access for agent operators is a permanent risk in exchange for an occasional need. Learn how to build a break-glass path that is fast enough to use and controlled enough to trust.
When agents from different organizations interact, a claimed identity is worthless without verification. Learn how decentralized identifiers and verifiable credentials establish agent identity across trust boundaries.
Rotation that has never been exercised is not rotation. Learn the overlap-window pattern, why agent fleets break rotation differently than services do, and how to make it routine rather than an incident.
Why point-in-time authorization fails for long-running AI agents, and how continuous authorization contains privilege abuse — OWASP ASI03.
Organizations have human offboarding checklists and nothing equivalent for agents. Retired agents keep credentials, connections, and scheduled triggers. Here is the deprovisioning sequence that actually closes them.
Machine identity, workload identity, and agent identity are not synonyms. What each term means, where they overlap, and what agents add.
Non-human identity credentials from issuance to revocation: provisioning, scoping, rotation, monitoring, and decommissioning without sprawl.
Evaluating alternatives to Astrix Security for non-human identity governance — and when agent-native identity needs a different layer.
How to give each AI agent its own identity and authenticate it with scoped, short-lived credentials — so every action is attributable and revocable.
How AI agent credentials get stolen and abused, and the controls that limit blast radius: credential scoping, short lifetimes, rotation, and fast revocation.
SSO and SCIM give enterprises full control over AI tool access — federated authentication plus automated lifecycle management that keeps access current.
Descope and WorkOS's identity-platform category explained, how it extends toward agentic identity, and where a dedicated agent governance layer differs.
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.
Apply least privilege to AI agents with scoped credentials, per-connection policies, and delegation constraints that shrink your blast radius.
LlamaIndex builds and queries indexes over your documents. Authorization for who can query what is the layer around it — here is where that boundary sits.
Haystack pipelines power enterprise search and RAG agents — but a retriever without document-level ACL enforcement will surface what the index holds.
Token Security discovers and secures non-human identities across the enterprise estate. What that covers, and what agent runtime governance adds.
How to plan a SPIFFE/SPIRE deployment for agent workloads: trust domains, attestation policy, federation, and the operational pitfalls that show up first.
Ping Identity's enterprise IdP stack extends to agent authentication like its peers. What that coverage includes, and what runtime governance still owns.
Keycloak's realms, clients, and token exchange cover agent authentication cleanly. What agent delegation and per-tool scoping still require you to build.
Vault's dynamic secrets and leases fit agent credentials well. The patterns that work, and where lease-based secrets stop being enough for agent behavior.
Entra's managed identities and federated credentials remove standing secrets for Azure workloads. What that covers for agents, and what Entra Agent ID adds.
A centralized secrets vault removes scattered credentials from agent deployments. What it fixes for AI agents, and what it leaves for another layer.
Britive grants just-in-time privileged cloud access that expires automatically. Where that checkout model fits agents, and where it breaks down.
Agents rarely stay in one cloud. How OIDC federation, SPIFFE trust-domain federation, and DIDs let agent identity cross cloud boundaries without shared secrets.
Aembit issues secretless credentials to workloads. Where that covers AI agents, and where delegation and tool scoping need another layer.
A step-by-step procedure for reviewing what every AI agent can access, who owns it, and whether its actual usage still matches its granted scope.
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 admin grants.
Teams add a functional access layer beneath org roles: scoping agents, enforcing per-team budgets, and integrating 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.
How a unified identity layer authenticates users, apps, AI agents, and MCP servers through one front door with MFA, scoped credentials, and audit logging.