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Community Of Practice

A community of practice is a group of practitioners who learn by sharing problems, examples, and feedback around a common discipline. In security, it helps convert isolated knowledge into practical judgment by exposing learners to real-world context and peer correction.

Expanded Definition

A community of practice is more than a discussion group. It is a sustained forum where practitioners exchange methods, failures, patterns, and judgement around a shared discipline. In security, that discipline might be IAM, PAM, Non-Human Identity governance, incident response, AI risk, or control validation. The value comes from repeated interaction, not just one-time participation, because practice develops through comparison, correction, and shared language.

Definitions vary across vendors and professional bodies when the term is used in training, operating models, or governance programmes, so the safest interpretation is functional: a community of practice creates a mechanism for turning tacit experience into reusable operational knowledge. That makes it different from a project team, an advisory board, or a user group. It is also distinct from formal control documentation, although it often complements control design and review. For example, control language in NIST SP 800-53 Rev 5 Security and Privacy Controls may define what must happen, while a community of practice helps practitioners understand how those controls behave in real environments.

The most common misapplication is treating a mailing list or periodic meeting as a community of practice, which occurs when there is no shared domain, no peer learning loop, and no practical feedback on actual work.

Examples and Use Cases

Implementing a community of practice rigorously often introduces a coordination overhead, requiring organisations to balance broad participation against the time needed for structured dialogue and follow-up.

  • IAM analysts and platform engineers meet regularly to compare access review failures, refine role design, and discuss where RBAC breaks down in edge cases.
  • NHI security practitioners share patterns for service account inventory, secret rotation, and ownership assignment across cloud and pipeline environments, often drawing on guidance from OWASP-NHI as the field matures.
  • Incident responders use a community of practice to review recent detections, compare false positives, and improve triage quality across SIEM, EDR, and SOAR workflows.
  • AI governance teams exchange lessons on model approvals, prompt abuse, and tool access for autonomous agents, with reference to NIST AI Risk Management Framework where governance and accountability matter.
  • Security architects use recurring peer review sessions to test whether control assumptions still hold after cloud migration, identity consolidation, or application modernisation.

A healthy community of practice does not only share successes. It also normalises discussion of near misses, ambiguous cases, and disagreements about terminology so that teams build better judgement over time.

Why It Matters for Security Teams

Security teams operate in conditions where documentation ages quickly and controls are often interpreted differently across environments. A community of practice reduces that drift by creating a common forum for applying standards consistently while still accounting for local realities. That matters in IAM, NHI, and agentic AI security, where ownership, trust boundaries, and approval chains can fail if each team invents its own interpretation.

For governance, the term matters because it helps translate policy into repeatable operational behaviour. Teams can use a community of practice to compare how they implement assurance requirements from NIST SP 800-63 Digital Identity Guidelines, or to discuss how control expectations in NIST and related frameworks are actually enforced during reviews, onboarding, and exception handling. It also supports identity security programmes where non-human accounts, secrets, and delegated access need consistent treatment across platforms.

Organisations typically encounter the limitations of weak shared practice only after an audit finding, a major incident, or repeated control failures, at which point a community of practice becomes operationally unavoidable to restore consistency.

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 and OWASP Agentic AI Top 10 address the attack and risk surface, while NIST CSF 2.0, NIST SP 800-63 and NIST AI RMF set the governance and control requirements practitioners need to meet.

Framework Control / Reference Relevance
NIST CSF 2.0 GV.OC-01 NIST CSF 2.0 stresses shared organisational context and governance for consistent practice.
NIST SP 800-63 IAL/AAL/FAL Digital identity assurance concepts benefit from shared practitioner interpretation and peer review.
OWASP Non-Human Identity Top 10 OWASP NHI guidance depends on shared operational patterns for service identities and secrets.
NIST AI RMF GOV The AI RMF governs accountability and shared understanding for AI risk practices.
OWASP Agentic AI Top 10 Agentic AI security needs shared practitioner learning because tool access patterns evolve quickly.

Use the community to standardise identity assurance decisions and reduce inconsistent authentication practice.