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AI agent access management: are your IAM controls keeping up?


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TL;DR: Access management is now being judged against autonomous and machine access patterns, not just human login journeys, and Ping Identity’s 2025 Gartner results highlight strong placement across workforce, partner, and machine access management, alongside explicit attention to AI-driven identity fraud, decentralized identity, and agentic AI identity management according to Ping Identity.

NHIMG editorial — based on content published by Ping Identity: the 2025 Gartner access management results and their implications for AI agent identity

By the numbers:

Questions worth separating out

Q: How should security teams govern machine access as identity programmes expand?

A: Security teams should govern machine access with the same ownership, expiry, and revocation discipline used for other high-risk identities, but with stronger emphasis on non-interactive behaviour.

Q: Why do AI agents change access management requirements?

A: AI agents change access management because they can make runtime decisions, select tools, and continue actions without a human approving each step.

Q: What breaks when access reviews are built only for human users?

A: What breaks is the assumption that entitlements remain stable long enough to be observed, certified, and remediated.

Practitioner guidance

  • Inventory machine and agent identities separately Create distinct registers for workforce, partner, service, and agent identities so governance, ownership, and review cadence are not collapsed into one access catalogue.
  • Bind access to explicit action context Require that high-risk machine and agent permissions include task scope, session purpose, and revocation conditions rather than broad reusable entitlements.
  • Rework access reviews for non-human estates Move review evidence toward ownership, expiry, and actual usage signals for service accounts, APIs, and agent credentials instead of relying on human certification patterns.

What's in the full analysis

Ping Identity’s full article covers the vendor-specific analyst scoring, use-case detail, and product framing this post intentionally leaves for the source:

  • The exact Gartner scoring breakdown across workforce, partner, customer, machine, and application development use cases.
  • Ping Identity’s own explanation of how it interprets verified trust, orchestration, and AI agent identity management.
  • The published rationale behind its Magic Quadrant placement and Critical Capabilities results.
  • The vendor’s framing of future roadmap themes such as decentralized identity and agentic AI identity management.

👉 Read Ping Identity’s analysis of Gartner access management results and AI agent identity →

AI agent access management: are your IAM controls keeping up?

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