Warning signs include spending that is disconnected from measurable security outcomes, weak documentation of what each control protects, and continued dependence on legacy access paths that remain broadly exposed. If teams still cannot monitor service accounts, enforce access policy consistently, or prove that controls improve detection and response, the program is likely producing compliance activity rather than operational risk reduction.
When investment fails to translate into lower exposure
A utility can spend heavily and still fail to reduce risk if the program optimises visible activity instead of the controls that change attack paths. The clearest indicator is a portfolio of projects that looks busy on paper, yet leaves the same high-value assets, privileged access paths, and recovery dependencies materially unchanged.
That usually shows up as controls that are deployed, but not operating in a way that changes outcomes. If teams cannot show tighter access, better segmentation, faster detection, or shorter compromise dwell time, the investment is not doing the risk-reduction work executives expect.
Utilities also have a concentration problem: the same legacy connectivity, third-party links, and operational exceptions can persist for years. If a new program does not reduce those exposures, it is unlikely to matter much whether the budget increased or the tool count grew.
What weak programs look like in practice
One warning sign is when success is measured by completion metrics instead of control performance. A project can be “done” because software was purchased, a policy was published, or a checklist was closed, while the organisation still cannot verify which accounts are exposed, which systems remain reachable, or which incidents are actually being detected earlier.
Another sign is that the program depends on undocumented compensating controls. When protection relies on tribal knowledge, manual workarounds, or a few experienced operators remembering special exceptions, the investment has not become durable risk reduction. It has become fragile dependence on people.
Legacy access paths are especially revealing. If service accounts, remote vendor access, and long-lived credentials remain broadly exposed, the utility may have improved its paperwork without improving its blast-radius control. That is a serious gap because these pathways often carry more operational privilege than ordinary user access.
For a useful benchmark, NHI Mgmt Group reports that only 5.7% of organisations have full visibility into their service accounts. In a utility environment, poor visibility is not just an inventory issue, it is a sign that the program may not know where the highest-risk access actually lives.
What to test before you trust the program
The right test is not whether the organisation can describe its security intentions, but whether it can prove movement in the controls that matter most. If leadership cannot point to measurable changes in access scope, monitoring coverage, rotation discipline, incident detection, or response speed, the program is still at the activity stage.
- What to verify: each major control should have a clearly stated asset, threat, or exposure it is meant to reduce, plus evidence that the exposure actually declined after implementation.
- What to measure: privileged account exposure, service account visibility, mean time to detect, mean time to contain, and the share of legacy paths still exempted from modern policy.
- Common mistake: treating compliance closure as proof of security improvement when the operational failure modes are unchanged.
Practitioners should also look for consistency across environments. If policy enforcement is strong in one segment but weak in production OT-adjacent systems, the program is not reducing enterprise risk uniformly. It is creating islands of control around the easiest parts of the estate.
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, CIS Controls v8 and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | GV.OC — Organisational Context | Utilities need security spend tied to critical assets and operational context. |
| PR.AC — Identity Management, Authentication and Access Control | The question turns on whether access paths and privileged exposure are actually reduced. | |
| DE.CM — Continuous Monitoring | Risk reduction must be visible through better detection and monitoring coverage. | |
| Recommendation — Map investments to business-critical services and measure whether they reduce exposure. Enforce access control changes that measurably shrink privileged and legacy access. Track monitoring coverage and detection timeliness to prove controls are working. | ||
| CIS Controls v8 | 6 — Access Control Management | Legacy and excessive access are central signs that investment is not reducing exposure. |
| 8 — Audit Log Management | The program must prove that control changes improve detection and investigation. | |
| 16 — Application Software Security | Utilities often inherit risk through systems that remain exposed or hard to update. | |
| Recommendation — Review and remove unnecessary access paths and privileged exceptions. Centralise logs and validate that detections improve after each control change. Reduce exposure from systems that cannot enforce modern security requirements. | ||
| OWASP Non-Human Identity Top 10 | NHI-01 — Secrets and Credential Management | Service accounts and long-lived credentials are a common hidden source of unchanged risk. |
| NHI-03 — Privilege and Access Governance | Excessive or unreviewed access shows the program is not shrinking attack surface. | |
| NHI-08 — Visibility and Discovery | Programs cannot reduce what they cannot inventory or monitor, especially for service accounts. | |
| Recommendation — Rotate and govern credentials so they stop being persistent exposure points. Continuously recertify privileged access and remove unused entitlements. Build complete discovery and monitoring for non-human access paths. | ||
| NIST Zero Trust (SP 800-207) | 3.1 — Continuous Verification | The core concern is whether controls continuously prove reduced exposure and trust. |
| Recommendation — Continuously verify that access and trust decisions still match current risk. | ||
Practitioner Guidance
What to prioritise: Start with the controls that reduce blast radius and improve observability, because those are the fastest ways to prove that investment is changing risk rather than just documenting intent. If the program cannot show better visibility into privileged and service access, its claims about risk reduction are still aspirational.
Decision rule: If a control does not change who can reach critical systems, how quickly abuse is detected, or how quickly exposure is removed, treat it as supporting hygiene rather than risk-reduction evidence. That distinction matters in utilities, where operational continuity can hide weak security until an incident forces the issue.
Practitioner takeaway: A utility cybersecurity program is reducing risk only when it can demonstrate narrower exposure, stronger enforcement, and faster detection or response, not just more budget, more tools, or more completed tasks.
Related resources from NHI Mgmt Group
- How do you know if a security nudge program is actually reducing human risk?
- How do you know if interactive cybersecurity training is actually reducing risk?
- How do organisations know whether their application vulnerability program is actually reducing risk?
- What are the signs that an AI agent safety programme is not actually reducing operational risk?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on September 20, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
