TL;DR: Enterprise environments continue to expand machine identities, AI agents, and privileged access surfaces, according to Saviynt. The governance problem is not platform branding; it is whether identity controls can keep pace with cross-domain access, lifecycle, and oversight demands.
NHIMG editorial — based on content published by Saviynt: newsroom overview of its identity platform and NHI coverage
By the numbers:
- Over 100 million identities protected, and counting.
Questions worth separating out
Q: How should security teams govern human and non-human identities together?
A: They should use one identity governance model for ownership, entitlement review, rotation, and removal, while still recognising that humans and machine identities behave differently.
Q: Why do non-human identities create more governance risk than many teams expect?
A: Because they are often distributed across code, pipelines, cloud services, and integrations, which makes them easy to miss and hard to revoke.
Q: How do organisations know if NHI controls are actually working?
A: They should measure whether every machine credential has an owner, a review cadence, a rotation path, and a documented offboarding process.
Practitioner guidance
- Inventory every non-human credential Create and maintain a complete record of service accounts, API keys, tokens, certificates, and workload identities across cloud, code, CI/CD, and third-party systems.
- Assign an owner to each privileged identity Require a named business or technical owner for every high-risk non-human identity so that approvals, reviews, and removals have a clear accountability path.
- Apply lifecycle controls to machine access Bring rotation, recertification, and offboarding into the same governance process used for workforce identities, with explicit checks for orphaned credentials and stale entitlements.
What's in the full article
Saviynt's full newsroom page covers the product and company context this post intentionally leaves for the source:
- The platform positioning across identity security posture management, just-in-time access, NHI, and PAM
- The company’s own framing of how it manages human and non-human access across applications, data, and business processes
- The broader newsroom and product navigation that shows how Saviynt is presenting its current portfolio
- The exact wording used in the source page for its market positioning and coverage areas
👉 Read Saviynt’s newsroom overview of its identity platform and NHI coverage →
Saviynt and NHI governance: what practitioners should notice?
Explore further
View Full Forum → | NHI Foundation Course → | Our Services →
Identity governance is collapsing into a single cross-actor problem. The old separation between workforce IAM, machine identity, and privileged access no longer reflects how enterprises operate. Human sessions, service accounts, workload credentials, and AI-adjacent access now share the same downstream systems and audit expectations. The implication is that identity teams should stop organising governance by identity category alone and instead manage the full access lifecycle as one control domain.
A few things that frame the scale:
- 91.6% of secrets remain valid five days after the targeted organisation is notified, showing a critical gap in remediation procedures, according to Ultimate Guide to NHIs.
- Only 20% have formal processes for offboarding and revoking API keys, and even fewer have procedures for rotating them.
A question worth separating out:
Q: What is the difference between privileged access for humans and for workloads?
A: Human privileged access is usually interactive and session-based, while workload privilege is often embedded, delegated, and persistent inside applications or pipelines. That makes machine privilege harder to observe and easier to forget during reviews. Governance has to focus on ownership, scope, and lifecycle rather than relying only on interactive admin controls.
👉 Read our full editorial: Saviynt’s identity platform points to broader NHI governance gaps