Why do machine identities create more PAM risk than many teams expect?

Machine identities often persist without clear ownership, spread across code, pipelines, and runtime systems, and outnumber human accounts by a wide margin. That combination makes them easy to overlook and hard to certify. If they are not included in lifecycle monitoring, they become quiet privilege pathways rather than managed assets.

Why This Matters for Security Teams

Privileged Access Management was built to control human users, but machine identities behave very differently. Service accounts, API keys, certificates, and tokens often live inside pipelines, code repositories, and runtime systems where ownership is unclear and review cycles are weak. That creates a blind spot: a credential can hold powerful access long after the system that created it has changed. The risk is not just volume, but persistence and invisibility.

NHIMG research shows why this is a problem at scale. In the Ultimate Guide to NHIs, 97% of NHIs were found to carry excessive privileges, and 71% were not rotated within recommended time frames. That combination turns a forgotten credential into a durable privilege pathway. Current guidance in the NIST Cybersecurity Framework 2.0 points teams toward asset visibility, access governance, and continuous monitoring, but machine identities still fall through the cracks when they are treated like static IT objects instead of living access paths.

In practice, many security teams discover this only after a secret has already been reused, exfiltrated, or left active in a pipeline long after the original owner moved on.

How It Works in Practice

The practical issue is that PAM controls are often designed around interactive access: a person requests elevation, approves a session, and later revokes it. Machine identities do not follow that pattern. They may authenticate automatically, delegate to other tools, or use the same credential across environments. When those identities are not inventoried and classified, PAM tools cannot enforce meaningful lifecycle control.

Strong machine-identity governance usually starts with three moves. First, discover every secret-bearing identity across code, CI/CD, infrastructure, SaaS, and cloud control planes. Second, classify each one by owner, system purpose, privilege level, and rotation requirements. Third, enforce policy at the point of issuance and use, not only during periodic review. That means tying secrets to workload identity, preferring short-lived credentials, and revoking access when the workload changes or terminates. This is the direction reflected in Top 10 NHI Issues and in broader identity guidance from the NIST Cybersecurity Framework 2.0.

• Use just-in-time issuance for privileged machine access instead of standing secrets.
• Prefer short-lived tokens and certificates over shared long-term credentials.
• Bind access to workload identity, not to hard-coded environment assumptions.
• Continuously monitor for orphaned, duplicated, or over-permissioned machine accounts.

For teams trying to reduce exposure quickly, breach reporting such as the BeyondTrust API key breach illustrates how a single exposed credential can become a broad trust failure when it is not tightly scoped and rapidly revoked. These controls tend to break down in highly distributed environments where identities are embedded in developer tooling, ephemeral containers, and third-party integrations because ownership and revocation signals are too fragmented.

Common Variations and Edge Cases

Tighter control often increases operational overhead, requiring organisations to balance faster delivery against stronger credential discipline. That tradeoff is real, especially where systems were built before secrets management was standardized. Current guidance suggests prioritising the highest-risk identities first, rather than trying to remediate every machine account at once.

Edge cases matter. Shared service accounts may be unavoidable in legacy estates, but they should be isolated, monitored, and removed from general administrative workflows. Third-party and partner integrations also need special handling because the organisation may not fully control rotation or revocation timing. This is where the Ultimate Guide to NHIs — Why NHI Security Matters Now is useful: the problem is not just secret sprawl, but the organisational habit of treating machine access as an implementation detail instead of a governed privilege class.

There is no universal standard for every workload yet, but the safest pattern is consistent: short-lived credentials, clear ownership, runtime policy checks, and removal of standing privilege wherever the business can tolerate it. That approach is especially important when accounts are created automatically by platforms, because those identities often outlive the workload that justified them.

Related resources from NHI Mgmt Group

• Why do non-human identities create more IAM risk than many teams expect?
• Why do fragmented identity stacks create more risk for machine identities and AI agents?
• Why do non-human identities create more audit risk than human accounts?
• Why do non-human identities create audit risk in modern environments?