TL;DR: Cybersecurity KPIs work best when they map to specific business objectives, such as securing cloud workloads, and track measurable identity risks like SSO and MFA coverage, PAM protection for admin keys, shadow admins, and excessive permissions, according to CyberArk. The real test is whether reporting reduces decision noise and exposes NHI governance gaps that boards can act on.
At a glance
What this is: This is a CyberArk analysis of how to choose cybersecurity KPIs that actually support board-level decisions, with cloud workload security and privileged identity risk as the main example.
Why it matters: For IAM and NHI teams, the message is that metrics only matter when they surface identity exposure, privilege sprawl, and governance progress in a way leaders can use.
👉 Read CyberArk's article on setting cybersecurity KPIs for cloud and identity risk
Context
Cybersecurity KPI programmes often fail when they measure activity instead of exposure. In environments built on cloud workloads, service accounts, API keys, privileged admins, and automated workflows, the reporting problem is really an identity governance problem: leaders need to know where access is concentrated, where it is changing, and whether controls are reducing blast radius.
CyberArk argues for aligning KPIs to objectives and key results, then using a smaller set of metrics to show progress to the board. That framing is sound, but for IAM and NHI practitioners the deeper issue is whether the KPI set captures non-human identity risk, privileged access, and shadow access paths rather than generic security output. That starting point is typical for mature programmes, but many organisations still over-measure and under-govern.
Key questions
Q: How should security teams choose cybersecurity KPIs for cloud environments?
A: Start with the business objective, then map each KPI to a control outcome that can change risk. For cloud environments, that usually means measuring privileged access coverage, secret protection, shadow admin removal, and permission reduction. If a metric cannot influence a decision, it is probably noise rather than a KPI.
Q: Why do boards need identity-focused security metrics?
A: Because identity is where access becomes usable. Board-level metrics should show whether human and non-human identities are gaining, keeping, or losing privilege, and whether controls like MFA, PAM, and rotation are reducing exposure. Without that focus, leaders see activity but not actual control effectiveness.
Q: What is the difference between tactical security metrics and board KPIs?
A: Tactical metrics help teams run the programme day to day, while board KPIs show whether the programme is changing risk. A good board KPI is fewer, more contextual, and tied to business outcomes. Tactical metrics can be many; board KPIs should be the ones that explain progress clearly.
Q: How can organisations avoid reporting too many cybersecurity metrics?
A: Limit reporting to metrics that map directly to objectives, then group supporting data underneath them. If a number does not drive prioritisation, budget, or accountability, it should not sit at the top level. The goal is decision support, not completeness for its own sake.
Technical breakdown
How cybersecurity KPIs should map to identity risk
A useful KPI is not a dashboard filler. It is a measurement tied to a specific control objective, such as reducing privileged access exposure or securing cloud admin pathways. For NHI governance, that means KPIs should track whether service accounts, API keys, certificates, and automation identities are protected by the same access discipline as human administrators. The core technical mistake is measuring volume of alerts, tickets, or scans without showing whether the identity surface is shrinking. Good KPI design separates leading indicators, such as admin accounts under MFA or secrets under rotation, from lagging indicators like incidents and exceptions.
Practical implication: Build KPI sets around identity control objectives, not general security activity counts.
Why cloud workload KPIs need privileged access management signals
Cloud workloads concentrate risk because control planes, CI/CD pipelines, and automation tooling often rely on privileged non-human identities. If KPIs do not include coverage for admin accounts, API keys, and over-privileged roles, the board receives an incomplete picture of operational risk. Privileged Access Management signals matter because they show whether elevated access is time-bound, monitored, and constrained. In practice, the metric should answer whether the most dangerous identities are governed by policy rather than by informal ownership or legacy exceptions. That is where identity governance becomes measurable instead of aspirational.
Practical implication: Track privileged access coverage for both human and non-human identities in the same reporting frame.
What board-ready cyber reporting should hide and reveal
Board reporting should compress complexity without hiding the control story. Heat maps, trend lines, and milestone-based views work because they show direction, not raw operational detail. But the underlying metrics must still be traceable to the work that changes risk, such as removing shadow admins, reducing excessive permissions, and improving MFA and SSO coverage for privileged users. The technical challenge is to keep the report legible while preserving enough identity granularity to explain why risk is rising or falling. Without that traceability, KPI reporting becomes narrative theatre.
Practical implication: Use visual summaries for executives, but keep the underlying identity metrics auditable and drillable.
Breaches seen in the wild
- Cisco DevHub NHI breach — IntelBroker exploited exposed Cisco credentials, API tokens and keys in DevHub.
- DeepSeek breach — DeepSeek breach exposed 1M+ log lines and sensitive secret keys.
Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Cybersecurity KPI maturity is increasingly an identity governance question. Boards do not need more measurements, they need better ones that show whether access is becoming less concentrated and more ephemeral. In cloud and automation-heavy environments, the boundary between cyber metrics and NHI governance has disappeared. Practitioners should treat KPI design as a control design exercise, not a reporting exercise.
Privilege exposure is the metric that matters when automation expands faster than oversight. Counting tickets or scans does not tell a CISO whether service accounts, API keys, and privileged cloud users are actually contained. The more automation grows, the more the programme needs metrics that expose over-privilege, shadow access, and weak separation of duties. The practitioner conclusion is simple: measure who can act, not just what has been reviewed.
Board communication should compress risk without erasing causality. Heat maps and trend views are useful only if they connect back to specific governance moves such as MFA enforcement, PAM coverage, and removal of shadow admins. If the report cannot explain why risk shifted, it cannot support decision-making. The practitioner implication is to make every executive KPI trace back to a specific identity control.
Focus beats exhaustiveness when KPI programmes mature. Cybersecurity teams often collect more data than they can operationalise, which makes the reporting stack noisy and slow to act on. A smaller KPI set tied to business objectives creates better prioritisation and cleaner accountability. The practitioner conclusion is to cut metrics that do not change decisions and keep the ones that prove control effectiveness.
From our research:
- 85% of organisations lack full visibility into third-party vendors connected via OAuth apps, with 38% having no or low visibility and 47% having only partial visibility, according to The State of Non-Human Identity Security.
- Only 1.5 out of 10 organisations are highly confident in their ability to secure NHIs, compared to nearly 1 in 4 for securing human identities.
- That confidence gap makes Top 10 NHI Issues a practical next read for teams translating KPI dashboards into control priorities.
What this signals
Identity metrics are becoming the control layer for cyber reporting. As cloud and automation expand, the question is less about whether organisations can collect metrics and more about whether those metrics expose concentration of privilege, shadow access, and unmanaged NHI paths. Practitioners should ensure executive reporting can explain control changes, not just outcome changes.
With 85% of organisations lacking full visibility into third-party vendors connected via OAuth apps, the governance gap is already structural, and KPI design needs to surface it. Metrics that ignore third-party access and non-human authorisation paths will understate risk, which is why linking reporting to OWASP NHI Top 10 is increasingly useful for programme planning.
Identity blast radius: the practical limit of how much damage a compromised admin, token, or service account can cause. Boards should care about whether reporting shows that blast radius is shrinking over time, because that is the clearest sign that governance is improving. For programme owners, this means aligning KPIs to containment, not just detection.
For practitioners
- Define KPIs from control objectives first Start with a small set of business objectives such as securing cloud workloads, then map each one to control outcomes like reduced privileged access, fewer shadow admins, and lower excessive permission exposure.
- Include NHI coverage in every privileged access metric Track service accounts, API keys, certificates, and automation identities alongside human admins so the board can see whether non-human access is actually governed.
- Use leading and lagging indicators together Pair measures such as MFA coverage and secret rotation with incident and exception trends so the programme shows both control adoption and real risk reduction.
- Build executive views that preserve drill-down detail Use heat maps and trend summaries for board reporting, but keep the underlying identity-level data available for audit, remediation planning, and root-cause analysis.
- Review KPIs on a fixed cadence Reassess metrics quarterly or when business scope changes, because cloud architecture, automation, and identity sprawl will shift which signals are most meaningful.
Key takeaways
- Cybersecurity KPIs are only useful when they measure whether access risk is actually shrinking.
- For cloud and automation-heavy environments, privileged access and NHI coverage belong in the same reporting model.
- Executives need concise views, but practitioners still need drillable identity data to explain why risk changed.
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 Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | GV.RM-01 | KPI selection should support governance and risk communication. |
| OWASP Non-Human Identity Top 10 | NHI-03 | Rotation and exposure metrics map directly to NHI credential risk. |
| NIST Zero Trust (SP 800-207) | PR.AC-4 | Least-privilege reporting aligns with continuous verification in zero trust. |
Track identity credential hygiene and reduce standing exposure for non-human identities.
Key terms
- Cybersecurity KPI: A cybersecurity KPI is a measurement that shows whether a security objective is being met, not just whether work is being done. In mature programmes, the KPI should connect directly to risk reduction, control adoption, or business protection, and it must be understandable by both practitioners and executives.
- Shadow admin: A shadow admin is an account or role with elevated privileges that exists outside normal governance, monitoring, or approval workflows. These accounts often appear through cloud sprawl, delegated access, or temporary exceptions, and they create hidden pathways for misuse, accidental overreach, or compromise.
- Identity blast radius: Identity blast radius is the amount of damage a compromised identity can cause before controls stop it. The smaller the blast radius, the better the containment. Practitioners reduce it by limiting privilege, shortening access duration, enforcing monitoring, and separating high-risk duties.
- Phish-prone percentage: Phish-prone percentage measures the share of users who click or otherwise respond incorrectly during simulated phishing tests. It is a behavioural metric that helps security teams baseline susceptibility, target training, and track whether awareness efforts are improving real-world judgment over time.
Deepen your knowledge
Cybersecurity KPI design for cloud workloads and privileged identities is covered in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are turning board reporting into identity governance decisions, this course is a practical place to start.
This post draws on content published by CyberArk: 5 Strategies for Setting the Right Cybersecurity KPIs. Read the original.
Published by the NHIMG editorial team on 2024-07-25.
NHI Mgmt Group — the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org