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06/06/2026 2:00 am
TL;DR: Non-human identity governance breaks when teams rely on human-shaped assumptions, because ownership, usage, and approval signals are often missing or unreliable for machine credentials, according to Oasis Security. The operational shift is from guesswork to evidence, with certification, rotation, and decommissioning tied to workload context rather than manual review.
NHIMG editorial — based on content published by Oasis Security: Comprehensive Guide to Non-Human Identity Management
By the numbers:
- Only 5.7% of organisations have full visibility into their service accounts.
- 71% of NHIs are not rotated within recommended time frames, increasing the risk of compromise over time.
- 79% of organisations have experienced secrets leaks, with 77% of these incidents resulting in tangible damage.
Questions worth separating out
Q: How should teams certify non-human identity access without breaking production?
A: Teams should certify non-human access with workload evidence, not permission lists.
Q: Why do machine identities need different governance than human accounts?
A: Machine identities lack the human anchors that make access reviews reliable, such as managers, HR events, and predictable offboarding.
Q: What breaks when non-human identity ownership is unclear?
A: When ownership is unclear, rotation stalls, reviews default to approval, and nobody feels safe removing access.
Practitioner guidance
- Build a certifiable identity inventory Map each non-human identity to a consumer, credential, owner, environment, purpose, and last-used evidence so reviewers can make defensible decisions instead of guessing.
- Replace binary reviews with outcome-based certification Use approve-as-is, right-size, rotate, reassign ownership, and disable or decommission as review outcomes so certification produces an operational change.
- Create identities through code and policy boundaries Require IaC or approved APIs, mandatory metadata, and least-privilege templates so teams create non-human access inside guardrails rather than through manual exceptions.
What's in the full article
Oasis Security's full guide covers the operational detail this post intentionally leaves for the source:
- Step-by-step certification packet contents for non-human identities, including ownership, usage evidence, and credential posture.
- Operational examples of approval outcomes such as right-sizing, rotation, reassignment, and decommissioning.
- Lifecycle workflow guidance for provisioning, monitoring, and break-safe decommissioning of machine credentials.
- Audit evidence examples showing coverage, rotation compliance, and certification completion metrics.
👉 Read Oasis Security's comprehensive guide to non-human identity management →
Non-human identity management: what IAM teams are missing?
Explore further
06/06/2026 3:26 am
Human identity governance does not scale cleanly to non-human identities because the accountability model is wrong. Human programmes rely on HR context, managers, and predictable leaver events. Machine identities are created by systems, consumed by workloads, and often lack a dependable human owner, so the governance premise breaks before certification even begins. The implication is that non-human identity control has to start with ownership and evidence, not with human-shaped review rituals.
A few things that frame the scale:
- 71% of NHIs are not rotated within recommended time frames, increasing the risk of compromise over time, 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: Who should own non-human identity lifecycle decisions?
A: The accountable owner should be the business and technical team that can explain the workload, the dependency, and the change impact. Security should define the guardrails and evidence requirements, but it should not be the only team making operational decisions about creation, rotation, or decommissioning.
👉 Read our full editorial: Non-human identity management demands evidence-based lifecycle control
