How should security teams adapt identity controls for industry-specific infrastructure risks?

Security teams should start with the identities and systems that create the most operational risk in each sector, then scope controls to the business context. Standing privileged access, vendor connections, and machine identities should be continuously reviewed, with access decisions tied to what must be proven for auditors, operators, and security teams. The goal is consistent policy enforcement, not one generic control model.

Why This Matters for Security Teams

Industry-specific infrastructure risks expose a simple truth: identity controls fail when they are designed around generic user workflows instead of the systems that actually keep a sector running. In telecom, energy, healthcare, and financial services, the identities that matter most are often service accounts, API keys, vendor OAuth grants, device credentials, and privileged automation. Those identities can cross trust boundaries quickly, so access decisions must be tied to operational context, not just job titles or static roles. The NIST Cybersecurity Framework 2.0 reinforces that governance should map to business outcomes, while NHIMG research shows how often organisations lose visibility into the identities they rely on. For example, The State of Non-Human Identity Security reports that 85% of organisations lack full visibility into third-party vendors connected via OAuth apps.

That matters because infrastructure attackers rarely need to defeat a perimeter if they can reuse a trusted machine identity, pivot through a vendor relationship, or exploit an overprivileged service account. The control problem is not only authentication, but also lifecycle, scope, rotation, logging, and revocation across systems that may never follow a human access pattern. In practice, many security teams encounter the real blast radius only after a vendor token, API key, or service credential has already been used to move laterally.

How It Works in Practice

The most effective approach is to start with the sector’s highest-risk workloads and then define identity controls around what must be proven for operations, audit, and security. That means inventorying privileged access paths, vendor connections, machine identities, and embedded secrets first, then applying stronger controls where those identities touch critical infrastructure. The Ultimate Guide to NHIs is useful here because it frames the practical lifecycle issues: visibility, rotation, offboarding, and Zero Trust alignment.

• Classify identities by business function, not by technical convenience.
• Require proof of ownership, purpose, and system dependency for each privileged identity.
• Use short-lived credentials where possible and rotate long-lived secrets aggressively.
• Review third-party OAuth grants and vendor connections on a fixed cadence.
• Log both issuance and use, so auditors can trace who or what exercised access.

For implementation, current guidance suggests pairing policy with continuous verification. The NIST Cybersecurity Framework 2.0 supports risk-based control selection, while NHIMG research shows why that matters: 97% of NHIs carry excessive privileges, and 71% are not rotated within recommended time frames. Sector teams should use that evidence to justify tighter control on the identities most likely to be abused, rather than spreading effort evenly across low-impact assets.

These controls tend to break down when identity ownership is fragmented across operations, procurement, and external vendors because no single team can revoke, rotate, or attest access end to end.

Common Variations and Edge Cases

Tighter identity control often increases operational overhead, requiring organisations to balance stronger assurance against uptime, vendor friction, and incident-response speed. That tradeoff is especially visible in environments with legacy OT systems, regulated healthcare devices, or telecom platforms that cannot tolerate frequent credential churn. Best practice is evolving here: there is no universal standard for how aggressively to shorten credential lifetimes in every industrial environment, so policy has to reflect system criticality and recovery constraints.

Some sectors also need exceptions for safety systems, break-glass access, or vendor-maintained equipment, but those exceptions should still be bounded by explicit approval, time limits, and monitoring. NHIMG’s research on the 52 NHI Breaches Analysis and the Salt Typhoon US telecoms breach shows how trusted credentials and infrastructure reach can be weaponised once access is granted. The practical answer is to build controls that can adapt by sector, then prove that each exception is tracked, justified, and revocable.

For teams comparing priorities, the hard lesson is that infrastructure risk is rarely caused by a missing control alone. It is usually caused by a control that exists somewhere, but not at the identity boundary where the sector’s most critical systems are actually exposed.

Related resources from NHI Mgmt Group

• How should security teams prioritise identity governance when cloud, infrastructure, and application access are all changing at once?
• What do security teams get wrong about scaling identity controls across regions and channels?
• How should security teams implement identity controls to meet ISO 27001 Annex A.9 and similar access governance requirements?
• How should IT teams use unified identity controls to support AI adoption in modern infrastructure?