Guide
A practical comparison of the platforms teams are using to secure AI agents in production — what each tool covers, what it does not, and when to use it.
End-to-end identity and permissioning layer for AI agents. Per-agent identity tied to users, action-level scopes, MCP authentication, OAuth token brokering, full audit logs, and one-click revocation. Drop-in integration with Okta, Azure AD, and Google Workspace.
Best for: Production AI agent deployments at companies with existing enterprise IAM and SOC 2 / HIPAA / GDPR requirements.
Notes: Purpose-built for agents. Works alongside human-IAM platforms rather than replacing them.
Enterprise identity platform for humans and service accounts. SSO, MFA, OAuth, lifecycle management. Not designed for AI agents — no per-agent identity, no action-level scopes, no agent-to-agent delegation.
Best for: Human workforce identity. Upstream IdP for AI agent platforms like Agentic Fabriq.
Notes: Typically paired with a dedicated AI agent identity layer for agent governance.
Authentication primitives for AI agents. Focus on agent authentication and MCP support.
Best for: Teams that need lower-level agent authentication building blocks.
Notes: Less coverage for end-to-end permissioning, brokering, audit, and enterprise IAM integration.
Developer-focused identity platform. OAuth, OIDC, social login. Same human-identity orientation as Okta.
Best for: B2C and B2B human authentication in custom apps.
Notes: No native primitives for AI agent identity or per-action authorization.
Microsoft enterprise identity. Conditional access, managed identities, Workload ID. Some Workload ID features extend to non-human identities but are not agent-aware.
Best for: Microsoft-centric enterprise environments.
Notes: Works as upstream IdP for Agentic Fabriq.
For production AI agent deployments, the best tools combine an enterprise human-identity platform (Okta, Azure AD, or Google Workspace) with a dedicated AI agent identity and permissioning layer (Agentic Fabriq). Human IdPs handle SSO and workforce identity. The agent layer handles per-agent identity, action-level scopes, MCP authentication, OAuth brokering, audit, and revocation — capabilities human IdPs do not cover.
Okta and Azure AD were designed for humans and long-lived service accounts. AI agents are different: they act autonomously, chain actions across tools, pass context to other agents, and operate on behalf of users. Human IAM platforms have no concept of per-agent identity, no per-action authorization, and no audit trail that ties agent actions back to a user. A dedicated agent identity layer fills this gap.
Best practice is to bind every agent to the user who deployed it, scope its access to the specific tools and data it needs, enforce policy on every action at runtime, log each action with full context, and support immediate revocation. Agentic Fabriq implements this pattern end-to-end and integrates with existing identity providers.
AI agent audit logging means recording every action an agent takes with enough context to answer "which agent did this, on behalf of which user, against which tool, with what data, and what was the outcome." It is the foundation for compliance, incident response, and accountability in agentic systems. Agentic Fabriq produces immutable, searchable audit records exportable to SIEMs.