They often treat it as a connectivity problem instead of an identity problem. That leads to shared keys, hardcoded secrets, and ad hoc approvals that are hard to audit. Machine access needs the same governance disciplines used for privileged human access, including inventory, scoping, rotation, and retirement.
Why This Matters for Security Teams
Machine-to-machine access is not a special case of application networking. It is identity governance at scale, with service accounts, API keys, tokens, and certificates making access decisions that are often broader and longer-lived than their human equivalents. When organisations frame the problem as connectivity, they miss the controls that actually limit blast radius: inventory, scoping, rotation, revocation, and retirement. OWASP’s OWASP Non-Human Identity Top 10 makes this governance gap explicit, and NHIMG’s Ultimate Guide to NHIs shows why it matters operationally.
The issue is especially dangerous because machine credentials are often embedded into build systems, automation jobs, and partner integrations where they are difficult to detect and even harder to retire. NHIMG reports that 80% of identity breaches involved compromised non-human identities such as service accounts and API keys, which is a strong signal that attackers increasingly target the machine layer first. In practice, many security teams encounter misuse only after a leaked key or over-privileged service account has already been chained into lateral movement and data access.
How It Works in Practice
The practical fix is to treat each machine identity as a governed workload, not as a shared utility. That starts with a complete inventory of non-human identities, then mapping each identity to a named owner, a specific workload, and a narrowly defined purpose. The Key Challenges and Risks section of NHIMG’s research is useful here because it highlights the common failure pattern: credentials accumulate faster than teams can review them.
Best practice is to replace static, long-lived secrets with short-lived credentials issued just in time, then revoke them automatically when the task ends. Current guidance also favours workload identity over password-style secrets, using cryptographic proof of what the workload is rather than what someone copied into a file. In implementation terms, that means:
- binding every service account or API client to a clear application owner;
- issuing short TTL tokens or certificates per workload, per environment, or per session;
- scoping access to the minimum API, dataset, and method required;
- rotating and retiring credentials on a fixed schedule and after every material change;
- logging machine-to-machine authorisation decisions with enough context for audit and incident response.
Where possible, organisations should align runtime access decisions with policy-as-code so approvals are evaluated at request time, not frozen into a static role that outlives the workload. NIST’s Zero Trust Architecture is helpful here because it assumes no implicit trust based on network location alone, while CSA’s MAESTRO work is increasingly relevant for agentic and automated runtime controls. These controls tend to break down when machine credentials are shared across pipelines and third-party integrations because ownership, revocation, and audit boundaries become too ambiguous to enforce cleanly.
Common Variations and Edge Cases
Tighter machine identity control often increases operational overhead, requiring organisations to balance stronger assurance against deployment speed and integration friction. That tradeoff is real, especially in legacy estates where older systems cannot consume short-lived tokens or workload identity without refactoring. There is no universal standard for this yet, so guidance suggests prioritising the highest-risk credentials first: production service accounts, CI/CD secrets, partner-facing APIs, and anything with write access to customer data or infrastructure.
Edge cases often appear in environments with many ephemeral workloads, such as autoscaling clusters, event-driven pipelines, and multi-cloud integrations. In those settings, static RBAC alone tends to fail because the workload’s purpose changes faster than the access catalogue can be updated. The better pattern is context-aware authorisation combined with automated lifecycle controls. NHIMG’s Ultimate Guide to NHIs is a useful reference point because it ties lifecycle, visibility, and zero trust together rather than treating secrets as a stand-alone problem.
Where organisations still rely on shared keys or hardcoded secrets, the control plane usually breaks down during incident response, because no one can prove which workload used the credential last, who owns it now, or whether it was ever fully retired.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 and CSA MAESTRO address the attack and risk surface, while NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-03 | Covers secret rotation and lifecycle gaps behind machine access failures. |
| CSA MAESTRO | Applies runtime governance to autonomous and automated machine workloads. | |
| NIST AI RMF | Supports governance for automated systems making access decisions at runtime. |
Inventory machine credentials and enforce short rotation cycles with automated revocation.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on June 23, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
