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16/01/2026 12:29 pm
TL;DR: Akeyless’s summary of KuppingerCole’s Leadership Compass says non-human identity management is moving beyond secrets handling toward lifecycle governance, auditability, and policy enforcement as automation and AI expand the number and variety of machine identities. The old assumption that static credential tools can govern dynamic non-human access is breaking down.
Editorial analysis by NHI Mgmt Group, based on content published by Akeyless: “KuppingerCole Names Akeyless a Product and Innovation Leader in Non-Human Identity Management”.
Key questions
Q: What breaks when secrets management is separated from identity governance?
A: When secrets management is separated from identity governance, credentials can outlive approvals, regions, or vendor relationships.
Q: When should organisations prioritise policy-bound access over long-lived machine credentials?
A: They should prioritise policy-bound access when identities are embedded in cloud pipelines, Kubernetes, DevOps workflows, or AI-driven systems that act continuously and change quickly.
Q: What are the signs that non-human identity governance is starting to slip?
A: Warning signs include reliance on manual upgrade paths, ad hoc secret handling, and fragmented access management across tools and environments.
Practitioner guidance
- Map all non-human identities to named owners Build an inventory that ties each service account, token, certificate, or pipeline identity to a business owner, technical owner, and retirement trigger.
- Replace durable access with short-lived issuance Reduce reuse by issuing access only when a workload, pipeline, or automation task needs it, and enforce expiry at the point of issuance.
- Extend audit trails to lifecycle events Record creation, use, rotation, delegation, and decommissioning events so review teams can verify what happened to each identity over time.
Bottom line: The article shows that non-human identity risk is fundamentally a governance problem, not just a secrets storage problem.
What's in the full analysis
Akeyless's full article covers the operational detail this post intentionally leaves for the source:
- The report criteria behind KuppingerCole’s leadership assessment and how it evaluated NHI platforms
- The integration patterns for cloud, Kubernetes, DevOps, and CI/CD environments
- The lifecycle reporting, delegated management, and identity-to-owner mapping capabilities discussed in the article
- The architectural discussion of Distributed Fragments Cryptography and zero-knowledge design
👉 Read Akeyless’s analysis of non-human identity management shifting from secrets to governance →
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07/10/2026 8:17 pm
Non-human identity management is no longer a secrets subdiscipline. The article reflects a category shift: machine access has become a governance problem with ownership, lifecycle, and audit requirements that mirror, but do not duplicate, human IAM. Secrets storage can hide credentials, but it cannot by itself define who is accountable for a service account, when access should end, or how policy should follow the workload. Practitioners should treat NHI as a control plane problem, not a vault-only problem.
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 IAM teams govern human, non-human, and AI identities together?
A: Start by separating the identity types in policy, ownership, and review cadence, then define where controls can be shared and where they must remain distinct. Human users, service identities, and AI systems do not fail in the same way, so the governance model has to preserve that difference while still producing one audit trail.
👉 Read our full editorial: Non-human identity management is shifting from secrets to governance