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Govern non-human and agentic identities

Non-human identities — service accounts, API keys, workload identities, certificates, secrets — already outnumber human accounts in most environments, often many times over. Now AI agents are joining them, acting on their own and frequently running on credentials no one has audited. They're where the least-watched risk hides, because the tools built for human users weren't built to see them.

Bring them into view​

Axiad Mesh treats non-human identities as first-class. It correlates and scores service accounts, machine identities, certificates, and AI agents the same way it does human users — so they appear in the same risk model, ranked against everything else rather than living in a blind spot.

For AI agents specifically, Mesh maintains an inventory of the autonomous agents active in your tenant — what each one is, who owns it, where it came from, and the risk it carries — so the agents operating in your environment are accounted for instead of invisible.

An NHIs-by-type inventory in Axiad Mesh Generative UI, listing non-human identities across kinds — workload identities, AI agents, service principals, RPA bots, managed identities, OAuth apps, service accounts — each with a risk score and dormant and no-owner counts, beside a widget chat answering which are unowned

Score the risk that's specific to them​

Non-human identities fail in their own ways, and Mesh scores for it: a dormant service account, an over-provisioned workload identity, an expiring or weakly-signed certificate, an agent with standing access it rarely uses. Because these roll into the same dollar-ranked model as everything else (see Quantify risk in dollars), a risky machine identity can — and often should — outrank a human finding.

Find the owner and drive the fix​

The hardest part of a non-human identity is that no one remembers owning it. Mesh tracks ownership on every asset and surfaces a No owner risk when it's missing, because an unowned credential is one nobody will rotate. From there the standard remediation paths apply — guided steps, delegation to the right owner, or automated external remediation — so a finding becomes an assigned, tracked task instead of a dead end.

  • Identities — human and non-human, correlated the same way.
  • Risk scoring — how non-human risk is measured.
  • Remediation — assigning and resolving the work.
  • Crypto agility — the certificate side of non-human identity, end to end.