Agentic AI
Agentic IAM: Treating AI Agents as First-Class Identities
Shadow AI and coding agents need lifecycle, scope, and audit — not borrowed service-account credentials.
Agents are principals, not helpers
Vendors from JumpCloud to Okta and Cloudflare are converging on the same point: autonomous agents act on systems of record, so they need identities of their own. Borrowing a human session or a long-lived service account skips lifecycle, breaks audit, and creates Shadow AI risk you cannot revoke cleanly.
Scoped delegation beats impersonation
When an agent acts for a user, it should receive a task-scoped subset of permissions — not the full user token. Short-lived credentials, purpose-bound scopes, and human-in-the-loop step-up for high-risk actions keep autonomy where it helps and oversight where it matters. That pattern maps cleanly to OAuth-style delegation if your identity layer supports it.
Audit that investigations can use
Every agent action should log the agent identity, the human who delegated, and the scope authorized. Those events belong in your SIEM with a stable schema — not buried in application stdout. Without that contract, incident response cannot answer who did what on whose behalf.
What to demand from your identity stack
Discovery of Shadow AI and Shadow MCP, registration of agent identities, conditional access for tools, and revocation that actually works. AuthOne-oriented designs treat machine customers and agents as first-class alongside workforce users — the same discipline enterprises already expect for SSO and MFA.
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