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11/07/2026 8:31 pm
TL;DR: KRIs are meant to warn leaders before objectives are affected, but many programmes fail because they track generic, stale, or ownerless metrics, according to Secureframe’s guide and Forrester’s enterprise risk research. The real issue is not data volume, but whether the signal is predictive enough to drive action before risk becomes material.
NHIMG editorial — based on content published by Secureframe: How to Develop Effective Key Risk Indicators + Best Practices for 2025
By the numbers:
- Only 5.7% of organisations have full visibility into their service accounts.
- 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface.
Questions worth separating out
Q: How should organisations design KRIs so they actually drive action?
A: Start with a business objective, identify the risks that could derail it, and choose a small number of predictive indicators tied to that risk.
Q: Why do KRIs often fail in security and GRC programmes?
A: KRIs fail when teams use them as backward-looking performance metrics, collect too many of them, or fail to attach ownership and response.
Q: How do you know if a KRI is actually working?
A: A working KRI changes behaviour before harm occurs.
Practitioner guidance
- Tie each KRI to a named risk decision Define the control action that should occur when the indicator crosses threshold, including who approves escalation and what remediation step follows.
- Set tolerance bands before you automate reporting Use upper and lower threshold values for the most important indicators, then test whether those thresholds produce useful escalation rather than noise.
- Prioritise a small number of high-signal indicators Start with two or three KRIs that map directly to critical objectives, then expand only after the programme proves that the indicators are predictive and actionable.
What's in the full article
Secureframe's full blog covers the operational detail this post intentionally leaves for the source:
- The step-by-step KRI template fields for mapping objectives to measurable risk signals.
- Example KRI categories for incident response, business continuity, AI governance, and GRC.
- Practical guidance on threshold setting, ownership, and monitoring frequency for implementation teams.
- The article's full KPI versus KRI examples and template download context for programme design.
👉 Read Secureframe's guide to developing effective key risk indicators →
Key risk indicators and GRC teams: are your signals really early warnings?
Explore further
11/07/2026 9:01 pm
KRI programmes fail when they are built as reporting tools instead of governance controls. The article captures a common GRC problem: organisations collect metrics that describe the past but do not change the next decision. That creates a control illusion, especially where risks move faster than board reporting or monthly review cycles. For identity and access programmes, the lesson is direct. A KRI only has value when it tells you which access, credential, or control state now sits outside tolerance.
A question worth separating out:
Q: What is the difference between a KRI and a KPI in practice?
A: A KPI measures whether a process or objective is performing as expected, while a KRI signals whether risk is increasing toward an unacceptable level. KPIs answer whether you are on target, but KRIs answer whether you are drifting into danger. Mature programmes need both, but they should never be treated as interchangeable.
👉 Read our full editorial: Key risk indicators fail when they stop being predictive
