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25/06/2026 2:31 pm
TL;DR: Identity platforms are increasingly being positioned around governance for human and non-human access, with references to non-human identity, just-in-time access, and AI agents, according to Saviynt. The broader signal is that identity programmes are being pushed to govern machine access, workload access, and emerging agentic behaviour in one control model.
NHIMG editorial — based on content published by Saviynt: Explore Saviynt's latest developments across identity security, partnerships, and product updates
Questions worth separating out
Q: How should security teams govern non-human identities alongside human access?
A: Security teams should govern non-human identities with the same lifecycle discipline used for human access, but with machine-specific controls for rotation, ownership, and expiry.
Q: Why do just-in-time access controls matter for machine identities?
A: Just-in-time access matters because machine identities often carry standing privilege that can be abused long after the original task is complete.
Q: What do teams get wrong about AI agent governance?
A: Teams often treat AI agents as if they were ordinary automation, but autonomous delegation changes the risk profile.
Practitioner guidance
- Audit non-human identity sprawl Inventory service accounts, API keys, tokens, certificates, and workload identities across platforms, then assign an owner and lifecycle state to each identity.
- Verify just-in-time expiry at the destination system Test whether privileged access actually expires in the application, cloud control plane, or data store, not only in the request portal.
- Separate human, NHI, and agent governance paths Build distinct review and approval logic for workforce accounts, machine identities, and AI-driven execution paths.
What's in the full article
Saviynt's full news coverage covers the operational detail this post intentionally leaves for the source:
- Platform positioning across human identity, non-human identity, and AI agent governance use cases
- Product naming and packaging details for Identity Cloud, ISPM, JIT access, and NHI capabilities
- Solution pages and role-based navigation that show how Saviynt frames use cases for CISO, CIO, and risk teams
- Newsroom context around the broader product and company messaging behind the identity platform
👉 Read Saviynt’s newsroom coverage of identity governance across human, NHI, and AI agent access →
Saviynt’s NHI and AI agent coverage: what changes for IAM teams?
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25/06/2026 3:41 pm
Identity governance is being pulled into a three-actor model of people, machines, and agents. Saviynt’s positioning reflects a broader market reality: one identity programme now has to govern human access, non-human access, and emerging AI-mediated execution in the same control plane. That matters because lifecycle, privilege, and audit controls no longer stay neatly inside the human IAM domain. Practitioners should read this as a structural shift in scope, not a product feature list.
A few things that frame the scale:
- The average estimated time to remediate a leaked secret is 27 days, despite 75% of organisations expressing strong confidence in their secrets management capabilities, according to The State of Secrets in AppSec.
- Only 44% of developers are reported to follow security best practices for secrets management, exposing a significant developer behaviour gap, according to The State of Secrets in AppSec.
A question worth separating out:
Q: When should organisations separate NHI governance from workforce IAM?
A: Organisations should separate them whenever review cadence, ownership, or enforcement differs materially between people and machine identities. Workforce IAM assumes human behaviour, while NHI governance has to handle secrets, service accounts, and non-interactive access paths. If one process cannot express those differences clearly, the programme will under-control machine access.
👉 Read our full editorial: Saviynt’s identity platform and the expanding scope of NHI governance
