Topic starter
25/06/2026 2:37 pm
TL;DR: Identity programmes now have to span human IAM, NHI governance, and emerging agentic control points, according to Saviynt. Saviynt positions its AI-powered identity platform around governing human and non-human access across applications, data, and business processes, with claims of over 100 million identities protected and a growing focus on machine identity, JIT access, and AI agents.
Editorial analysis by NHI Mgmt Group, based on content published by Saviynt: “Newsroom”.
By the numbers:
- Over 100 million identities are protected, according to Saviynt.
Key questions
Q: What breaks when human IAM and NHI governance are handled in separate programmes?
A: Ownership, review, and revocation drift apart, so the organisation cannot prove who approved access, who operates it, or when it should end.
Q: When should organisations replace standing privilege with just-in-time access?
A: Organisations should replace standing privilege with just-in-time access whenever elevated access is not required continuously.
Q: How do security teams know whether NHI governance is actually working?
A: Look for lifecycle completion, not just more inventory.
Practitioner guidance
- Classify identities by operating model Separate human, NHI, and AI-agent identities in your governance register so ownership, approval, and offboarding rules are explicit for each class.
- Replace standing elevation with task-scoped access Use just-in-time access for privileged NHI and agent workflows where continuous access is not operationally required.
- Bind non-human identities to named business owners Require every service account, token, or agent identity to have an accountable owner, a review cadence, and a removal trigger.
Bottom line: Saviynt’s positioning reflects a broader shift in identity governance from user-only IAM toward control of people, machines, and agentic systems in one operating model.
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This topic was modified 5 days ago 6 times by NHI Mgmt Group
This topic was modified 4 days ago by NHI Mgmt Group
This topic was modified 3 days ago 12 times by NHI Mgmt Group
25/06/2026 3:45 pm
Identity governance is converging around a shared control problem: human users, non-human identities, and AI agents now compete for the same access model, so the old separation between IGA, PAM, and machine identity management is becoming operationally misleading. The practical issue is not product consolidation, but governance fragmentation when each identity class is owned, reviewed, and revoked differently. Practitioners should treat this as a lifecycle unification problem, not three separate programmes.
A few things that frame the scale:
- NHIs outnumber human identities by 25x to 50x in modern enterprises, according to the Ultimate Guide to NHIs.
A question worth separating out:
Q: How should organisations govern external tools used by AI agents?
A: Organisations should review external tools as security inputs, not convenience features. Each tool needs ownership, approval, metadata inspection, and ongoing monitoring for hidden instructions or unexpected behaviour. If an AI agent can act on a tool, then the tool’s provenance and control status should be governed like any other sensitive integration.
👉 Read our full editorial: Saviynt’s identity platform signals broader NHI and AI agent governance
This post was modified 4 days ago by NHI Mgmt Group