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25/06/2026 2:35 pm
TL;DR: Identity security is increasingly being treated as a single control plane for governing human access, non-human identities, and AI agents across applications, data, and business processes, according to Saviynt. The practical takeaway is that teams should treat NHI governance, PAM, and AI agent access as one lifecycle problem, not disconnected tool sets.
NHIMG editorial — based on content published by Saviynt: newsroom and platform overview material on identity security, NHI, and AI agent governance
By the numbers:
- Only 5.7% of organisations have full visibility into their service accounts.
- NHIs outnumber human identities by 25x to 50x in modern enterprises.
- 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools.
Questions worth separating out
Q: How should security teams govern human, machine, and AI agent identities in one programme?
A: Use one governance model for ownership, access review, privilege scope, and offboarding, but apply it differently by identity type.
Q: Why do non-human identities create more access risk than many human accounts?
A: Non-human identities often outnumber humans, carry broad permissions, and are reused across systems without clear ownership.
Q: What do organisations get wrong about just-in-time access for identities?
A: They treat just-in-time access as a stand-alone fix instead of a control that depends on good identity hygiene.
Practitioner guidance
- Unify identity inventories across human, machine, and agent access Create one authoritative inventory for workforce accounts, service accounts, API keys, certificates, and AI agent identities.
- Tie privileged access to task-scoped approval and expiry Apply just-in-time access wherever elevated privileges are needed, including for delegated machine access and agent workflows.
- Review orphaned machine identities and stale secrets first Prioritise service accounts, tokens, and secrets that lack a clear business owner or rotation path.
What's in the full article
Saviynt's full page covers the platform-level detail this post intentionally leaves for the source:
- The specific product areas tied to identity governance, NHI, PAM, and AI agents across the platform.
- The vendor's own description of how its identity cloud is organised by use case, role, and industry.
- The named solution modules and ecosystem touchpoints that implementation teams would need to evaluate directly.
- The broader newsroom and product context around how Saviynt positions its platform capabilities.
👉 Read Saviynt’s overview of identity governance across human, NHI, and AI agent access →
NHI and AI agent identity: what Saviynt’s platform emphasis signals?
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25/06/2026 3:44 pm
Identity security platforms are converging because the governance problem is already shared. Saviynt’s framing reflects a market reality that enterprises do not manage human identities, non-human identities, and AI agents in isolation. Access decisions, entitlement reviews, and privilege containment now need to work across all three. The implication is that separate governance models create blind spots at the boundaries, where misuse is most likely to be missed.
A few things that frame the scale:
- Only 5.7% of organisations have full visibility into their service accounts, according to Ultimate Guide to NHIs.
- 79% of organisations have experienced secrets leaks, and 77% of those incidents caused tangible damage.
A question worth separating out:
Q: When should teams combine identity governance with identity security posture management?
A: They should combine them whenever access spans multiple identity types, third parties, or high-value business processes. Governance tells you who should have access. Posture management tells you whether actual access matches that intent. Together, they help detect drift before a stale entitlement, exposed token, or orphaned account becomes an incident.
👉 Read our full editorial: Saviynt’s NHI and AI agent identity focus in context
