How should security teams implement ISPM for machine identities?

Why This Matters for Security Teams

ISPM for machine identities is not just an inventory problem. Security teams are dealing with service accounts, API keys, certificates, OAuth tokens, and workload identities that often outnumber human accounts by 25x to 50x. NHI Mgmt Group research shows only 5.7% of organisations have full visibility into their service accounts, which means most teams are trying to govern access they cannot fully see. That visibility gap is why standing privilege, stale secrets, and orphaned identities persist long after systems change.

The practical risk is straightforward: machine identities are frequently over-privileged, long-lived, and reused across pipelines, applications, and vendors. The Ultimate Guide to NHIs notes that 97% of NHIs carry excessive privileges, while the NIST Cybersecurity Framework 2.0 reinforces that asset visibility, access control, and continuous monitoring must work together rather than as isolated tasks. In practice, many security teams discover machine identity sprawl only after a breach review exposes the gaps.

How It Works in Practice

ISPM should be implemented as a lifecycle control, not a one-time cleanup. Start by discovering identities across code, CI/CD, secret stores, cloud platforms, SaaS integrations, and workload runtimes. Then classify each identity by owner, system, privilege level, age, exposure path, and whether the secret is shared or unique. That classification is what makes the rest of the program operational.

Next, enforce controls based on risk. High-risk identities should move to unique credentials, short rotation windows, and just-in-time access where the platform supports it. Secrets should be stored in managed vaults, not embedded in code or configuration. Monitoring should watch for abnormal use, failed rotation, reuse across environments, and identity activity outside normal change windows. The NIST Cybersecurity Framework 2.0 is useful here because it helps teams connect governance, detection, and response into one operating model. For runtime identity and workload proof, current guidance also favours cryptographic workload identity approaches such as SPIFFE/SPIRE where feasible.

• Inventory every machine identity, including dormant and vendor-managed ones.
• Assign an accountable owner before changing privilege or rotation policy.
• Use JIT provisioning for admin-grade access and expire it automatically.
• Rotate secrets on schedule and on trigger events such as compromise or staff change.
• Alert on reuse, orphaning, and unexpected cross-environment authentication.

NHI Mgmt Group data shows 71% of NHIs are not rotated within recommended time frames, which is why rotation must be enforced by policy rather than left to application owners. The JetBrains GitHub plugin token exposure is a useful reminder that developer tooling can leak machine credentials into places security teams do not always inspect. These controls tend to break down when identities are created inside fast-moving CI/CD pipelines because ownership, expiry, and revocation are not embedded in release workflows.

Common Variations and Edge Cases

Tighter machine-identity control often increases operational overhead, so organisations have to balance risk reduction against pipeline speed and application stability. That tradeoff is especially visible in legacy systems, vendor integrations, and high-frequency automation where frequent rotation can break brittle dependencies.

Best practice is evolving for these cases. Some environments can support strict JIT and rapid secret expiry, while others need compensating controls such as segmented vault access, token scoping, and enhanced logging. There is no universal standard for every platform yet, but the direction is clear: reduce standing access, shorten credential life, and tie every exception to explicit ownership and review. The JetBrains GitHub plugin token exposure illustrates how a single exposed token can bypass otherwise solid perimeter controls. For machine identities, the same problem often appears in vendor OAuth apps and service-to-service tokens that were never designed for long-term use.

For teams aligning ISPM with broader governance, the strongest programs treat machine identity risk as part of Zero Trust, not a separate cleanup exercise. The key is to keep the policy simple enough to automate and strict enough to reduce standing privilege before attackers or outages expose the gaps.

Related resources from NHI Mgmt Group

• How should security teams build a continuous inventory for machine identities?
• How should security teams govern machine identities in manufacturing environments?
• How should security teams reduce secret sprawl in machine identities?
• How should security teams implement Zero Standing Privileges for cloud identities?