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How can manufacturers tell if their identity controls are really reducing risk?

They should test whether one compromised account can reach multiple plants, support systems, or critical production tools. If the answer is yes, the programme is still optimized for administration rather than resilience. Effective control should reduce the number of systems any single identity can touch and shorten the time to containment.

Why This Matters for Security Teams

Manufacturers rarely measure identity risk by asking whether an account exists. The better test is whether one compromised identity can cross production zones, reach OT-adjacent systems, or touch shared support tooling without fast detection. That is why risk reduction should be visible in blast-radius reduction, not just in password policy, MFA coverage, or ticket volume. NHI Mgmt Group notes that 97% of NHIs carry excessive privileges in the Ultimate Guide to NHIs, which means many programmes still tolerate access paths that are broader than the business needs.

This is especially important in manufacturing because identities often span ERP, MES, PLC-adjacent services, vendor support channels, and CI/CD automation. A control can look mature on paper while still allowing lateral movement across plants. Current guidance from the NIST Cybersecurity Framework 2.0 emphasises outcomes such as governance, protection, and detection, but manufacturers must translate those outcomes into concrete containment boundaries for each identity. In practice, many security teams discover weak identity containment only after a supplier account, service principal, or automation token has already touched more systems than anyone expected.

How It Works in Practice

Identity controls reduce risk when they make compromise expensive, slow, and narrow. For manufacturers, that usually means testing whether an identity can move from IT into plant support systems, whether it can request privileged actions at runtime, and whether access expires when the task ends. The most useful checks are operational, not theoretical. Start by mapping each non-human identity to a business function, then validate which systems it can reach under normal conditions and after a simulated compromise.

Strong programmes usually combine four elements:

  • least privilege with explicit resource boundaries for plants, suppliers, and shared services
  • short-lived credentials or tokens rather than standing secrets in scripts and config files
  • continuous logging that shows what the identity actually touched, not just what it was allowed to touch
  • containment tests that prove one identity cannot fan out across multiple environments

This is where NHIs differ from human access. Long-lived secrets, broad service accounts, and forgotten API keys often survive far beyond the task they were created for. NHIMG’s Top 10 NHI Issues and Ultimate Guide to NHIs both point to excessive privilege, weak rotation, and poor visibility as common failure modes. For evidence-based prioritisation, the NIST CSF 2.0 and the OWASP NHI guidance on identity sprawl support a practical rule: if a single identity can still access many plants or critical production tools after compromise, the control is reducing administrative friction more than actual risk.

That is why manufacturers should test containment with real workflows, not only with access reviews. These controls tend to break down in heavily outsourced OT environments because shared vendor credentials, brittle legacy integrations, and emergency access paths often bypass normal approval and revocation steps.

Common Variations and Edge Cases

Tighter identity control often increases operational overhead, requiring organisations to balance faster maintenance and supplier access against stronger containment and shorter credential lifetimes. In manufacturing, that tradeoff is real because downtime is expensive and many plants depend on external engineers, shared jump systems, and older equipment that cannot support modern authentication.

There is no universal standard for every plant topology yet, so best practice is evolving. Some environments can move to per-task JIT access quickly, while others must preserve limited standing access for safety or vendor support. The key is to document those exceptions, time-box them, and make them auditable. If a legacy system cannot support modern policy evaluation, add compensating controls such as network segmentation, strong session recording, and manual approval with fast revocation.

Manufacturers should also treat the absence of incidents as weak evidence. The 2024 ESG Report: Managing Non-Human Identities shows that many organisations have already experienced or suspect NHI breaches, which means “no known compromise” may simply reflect limited visibility. A control is truly reducing risk only when it lowers reachable systems, shortens containment time, and makes abnormal access patterns obvious before production impact spreads.

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 address the attack and risk surface, while NIST CSF 2.0 and 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 Addresses excessive privilege and blast-radius reduction for non-human identities.
NIST CSF 2.0 PR.AC-4 Supports managing access permissions and limiting identity reach across systems.
NIST AI RMF Risk measurement and governance need evidence of reduced exposure, not just policy intent.

Use AI RMF-style risk evaluation logic to test whether controls measurably reduce reachable assets and exposure time.