Subscribe to the Non-Human & AI Identity Journal
Home FAQ Cyber Security Why do critical infrastructure rules increase pressure on…
Cyber Security

Why do critical infrastructure rules increase pressure on identity governance?

← Back to all FAQ
By NHI Mgmt Group Editorial Team Updated July 12, 2026 Domain: Cyber Security

Because many regulated risks now sit outside the employee directory. Cloud platforms, managed services, API keys, and vendor-issued tokens can reach critical systems without passing through traditional HR-led identity processes. That forces IAM and PAM teams to govern machine and third-party access with the same discipline used for privileged human accounts.

Why This Matters for Security Teams

Critical infrastructure rules increase pressure on identity governance because compliance expectations now extend beyond traditional workforce accounts. Regulators and auditors increasingly care about who, or what, can reach operational systems, how access is approved, and whether privileges are continuously constrained. That means cloud workloads, service accounts, vendor connections, and API keys become governance subjects, not just technical details. The shift aligns closely with NIST Cybersecurity Framework 2.0, which treats identity and access as part of resilience, not a one-time setup task.

The pressure is sharper in sectors where outage, safety, or regulatory breach has immediate consequences. If identity data is fragmented across HR, IAM, PAM, cloud platforms, and supplier portals, organisations lose the ability to answer basic governance questions quickly: who approved access, when was it last reviewed, and what privileged paths exist into critical systems? Current guidance suggests that this is no longer a narrow access-management issue; it is a control assurance issue tied to operational continuity. In practice, many security teams encounter the gap only after an audit finding, supplier incident, or emergency access event has already exposed it.

How It Works in Practice

In regulated environments, identity governance has to cover every path that can alter or operate critical systems. That usually means combining joiner-mover-leaver processes for people with lifecycle controls for non-human identities, including service accounts, workload identities, certificates, secrets, and third-party tokens. The practical goal is to keep privileges visible, approved, reviewed, and revocable across environments where traditional HR workflows do not apply.

Security teams typically need to connect four layers of control:

  • Inventory and classification of all identities, including machine and vendor-issued access.
  • Approval workflows that distinguish standing access from just-in-time access and emergency access.
  • Periodic access reviews that include privileged entitlements, secrets, and integrations, not only employee roles.
  • Detection and response around anomalous use, because valid access can still be abused once issued.

Threat intelligence matters here as well. CISA cyber threat advisories and the ENISA Threat Landscape both reinforce that credential abuse, exposed secrets, and supplier compromise remain common entry paths. For identity teams, that means governance must be paired with telemetry from PAM, cloud control planes, and SIEM so access can be correlated with actual use. Where agentic automation is present, emerging guidance such as Anthropic Project Glasswing shows why tool access, approval boundaries, and human override paths deserve explicit design, not assumptions.

These controls tend to break down when critical services are managed through ad hoc integrations, because ownership, approval, and revocation are split across platforms that do not share a single identity record.

Common Variations and Edge Cases

Tighter governance often increases operational overhead, requiring organisations to balance resilience against deployment speed and supplier flexibility. That tradeoff becomes visible in environments where vendors need fast maintenance access, cloud teams spin up short-lived infrastructure, or autonomous agents request tool permissions dynamically. Best practice is evolving here, and there is no universal standard for every machine-to-machine pattern yet.

The main edge cases are not theoretical. A vendor-managed control system may use a shared service credential that cannot be mapped cleanly to a single person. A Kubernetes workload may rotate identities frequently enough that manual review becomes ineffective. An AI agent may be authorised to call multiple APIs, but the business owner may not understand which tool paths are truly necessary. In those situations, identity governance needs compensating controls such as scoped credentials, time-bound approvals, secret rotation, and stronger separation between request, approval, and execution. The EU NIS2 Directive increases the stakes by pushing organisations toward demonstrable accountability and supplier oversight, not just nominal policy coverage.

The practical lesson is that critical infrastructure rules do not simply add more paperwork. They force identity teams to prove that access is least-privilege, reviewable, and recoverable even when the identity is not human, not persistent, or not owned by the enterprise in the usual sense.

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 surface, NIST CSF 2.0, NIST Zero Trust (SP 800-207) and NIST AI RMF set the technical controls, and NIS2 define the regulatory obligations.

FrameworkControl / ReferenceRelevance
NIST CSF 2.0PR.AC-1Identity governance must control who or what can access critical systems.
NIST Zero Trust (SP 800-207)AC-4Zero trust requires explicit, continuous authorization for critical system access.
OWASP Non-Human Identity Top 10Non-human identities and secrets are central to the governance gap described here.
NIS2NIS2 increases accountability for resilient access control and supplier oversight.
NIST AI RMFAgentic AI access introduces governance needs for tool use and human oversight.

Map all workforce and non-human access paths, then verify approvals and revocation coverage.

NHIMG Editorial Note
Reviewed and updated by the NHIMG editorial team on July 12, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org