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10/06/2026 10:56 pm
TL;DR: AI agents and machine identities are increasingly operating outside traditional identity controls, while 1Password says its platform is built to discover, secure, and continuously audit those accesses, as its recognition on CRN’s 2026 AI 100 list lands in a market where identity programmes now have to account for credentials, autonomy, and visibility across human and non-human actors.
NHIMG editorial — based on content published by 1Password: 1Password Earns Recognition on the Third Annual CRN AI 100 List
Questions worth separating out
Q: How should security teams govern AI agents alongside human and machine identities?
A: Security teams should govern AI agents in the same identity programme as humans and workloads, but with different runtime controls.
Q: Why do AI agents create new identity governance problems for IAM teams?
A: AI agents create new governance problems because they can act faster than review cycles, use tools dynamically, and blur the line between authentication and action.
Q: What breaks when credentials are reused across AI tools and machine workflows?
A: What breaks is accountability, not just security hygiene.
Practitioner guidance
- Map AI tools and machine identities into one access inventory Build a single inventory of human users, service accounts, AI tools, agents, and exposed credentials so ownership and review paths are visible in one place.
- Define runtime review triggers for non-human access Set conditions that force revalidation when an agent changes tool scope, touches a new system, or begins acting outside its normal workflow.
- Reduce standing trust in shared credential paths Replace long-lived secrets wherever possible and remove credentials from code, configs, and automation paths that can be reached by AI tooling.
What's in the full analysis
1Password's full article covers the operational detail this post intentionally leaves for the source:
- Channel-program context for solution providers and managed service providers who need to operationalise AI identity governance.
- 1Password's own description of Unified Access capabilities for discovering and securing access across human, AI agent, and machine identities.
- The vendor's framing of how its partner program fits into AI security market positioning.
- The award context behind CRN's AI 100 list and how vendors were selected.
👉 Read 1Password’s AI 100 recognition coverage and AI identity governance framing →
AI agent and machine identity governance: what the CRN AI 100 signals?
Explore further
12/06/2026 4:41 am
AI security recognition is becoming a proxy for identity governance maturity. The fact that vendors are being recognised for AI security capabilities shows the market is moving from abstract AI strategy to operational control questions. In that setting, identity governance is no longer limited to users and service accounts. The programme now has to answer how it governs machine and agent access with the same discipline it applies to human access, or it will lose visibility at the boundary where AI work actually happens. Practitioners should treat AI-security recognition as a signal that identity scope is broadening.
A few things that frame the scale:
- 70% of organisations grant AI systems more access than they would give a human employee performing the exact same job, according to The 2026 Infrastructure Identity Survey.
- 79% of organisations have experienced secrets leaks, and 77% of those incidents caused tangible damage, according to Ultimate Guide to NHIs.
A question worth separating out:
Q: How do security teams decide whether AI identity controls are actually working?
A: They should look for evidence that access can be traced, bounded, and revoked across actor types without relying on ad hoc manual intervention. If a team cannot show who or what used the credential, when it was used, and whether the access was still justified at the time, the control is not working as intended.
👉 Read our full editorial: 1Password’s AI 100 recognition points to hybrid identity governance gaps
