Cognitive Governance is a governance approach that protects human judgment and agency when AI helps make decisions. Instead of treating AI as a simple automation layer, it asks whether people can still question, override, and explain the outcome. In security programs, that means preserving meaningful human review in workflows such as access approvals, alert triage, fraud checks, and incident response recommendations.
This matters because attackers and failures alike can exploit overreliance on AI. A model may be confident but wrong, or it may narrow attention so much that analysts stop challenging its output. Cognitive Governance therefore focuses on controls such as clear accountability, reviewable rationale, escalation paths, and documented decision trails. In practice, defenders use it to ensure AI supports judgment rather than replacing it, so decisions remain defensible, reversible, and auditable even when AI influences the process.