Indicators Of Good Practice

Indicators of Good Practice are the evidence markers used to judge whether an organisation is meeting a CAF outcome. They translate broad resilience expectations into observable practices, documentation, and operational signals. Practitioners use them to self-assess, compare progress over time, and show regulators that security efforts are measurable and repeatable.

Expanded Definition

Indicators of Good Practice are observable evidence points that show whether an organisation is moving toward a CAF outcome, rather than merely claiming intent. In NHI security and Agentic AI governance, they function as practical proof that controls are implemented, repeatable, and reviewable over time. Definitions vary across vendors and assurance programs, but the core idea is consistent: the indicator must be specific enough to verify and useful enough to support self-assessment.

Practitioners often map these indicators to control evidence such as policy artifacts, logging coverage, review cadence, ownership assignments, and remediation records. That makes the concept closely related to measurement language in NIST SP 800-53 Rev 5 Security and Privacy Controls, but Indicators of Good Practice are not the controls themselves. They are the proof signals that controls are operating as expected. The most common misapplication is treating a single document or checklist as sufficient evidence, which occurs when teams confuse stated policy with demonstrated operational performance.

Examples and Use Cases

Implementing Indicators of Good Practice rigorously often introduces evidence-collection overhead, requiring organisations to weigh assurance value against the time needed to gather and maintain proof.

• A service account inventory shows named owners, approved purposes, and last-review dates, demonstrating that identities are tracked rather than left to drift.
• Secrets rotation logs confirm that API keys and certificates are rotated on schedule, which provides a concrete signal that credential lifecycle controls are active. This aligns well with guidance in the Ultimate Guide to NHIs.
• Access reviews are documented with evidence of challenge, approval, and removal of unused privileges, showing that review is a real process rather than a paper exercise.
• Operational dashboards show alerting coverage for anomalous NHI activity, supporting the claim that monitoring is continuous and not limited to periodic audits.
• Change records include testing, approval, and rollback evidence for automation that interacts with secrets or service identities, which helps demonstrate controlled release behavior under NIST SP 800-53 Rev 5 Security and Privacy Controls.

Why It Matters in NHI Security

Indicators of Good Practice matter because NHI environments fail quietly when ownership, rotation, or visibility are weak. A control can exist on paper while service accounts remain untracked, secrets remain exposed, or access reviews never happen. NHIMG research shows that only 5.7% of organisations have full visibility into their service accounts, which means many teams cannot even prove the basic conditions needed for assurance. The same research also shows that 79% of organisations have experienced secrets leaks, with 77% of those incidents causing tangible damage, underscoring why evidence must be operational, not theoretical.

For governance teams, this concept turns ambition into auditability. It helps connect NHI hygiene to measurable outcomes such as rotation discipline, offboarding, and privilege reduction, which are central to the Ultimate Guide to NHIs. Organisational reporting becomes stronger when it shows repeatable practice rather than one-time remediation. Organisations typically encounter the need for indicators only after an incident report, a failed audit, or an executive challenge, at which point good practice evidence becomes operationally unavoidable to address.

Related resources from NHI Mgmt Group

• How should security teams use employee risk indicators in practice?
• What does good NHI governance look like for audit and compliance purposes?
• When does Zero Standing Privilege fail in practice?
• Why do AI agents complicate zero trust architecture in practice?