Agentic AI vs. Governance
Establish agent-specific authorization boundaries, audit trails, and escalation gates before production deployment to satisfy accountability and transparency obligations.
CyberTRIZ analysis · Cyber contradiction C152 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Overview
Agentic Artificial Intelligence introduces autonomous software agents capable of planning, coordinating, and executing complex cybersecurity activities with limited human intervention. While these capabilities improve operational efficiency, they also create governance challenges related to accountability, authorization, transparency, and regulatory compliance. Traditional governance models were designed around human decision-makers rather than autonomous software agents. CyberTRIZ encourages organizations to establish governance frameworks that clearly define decision boundaries, approval mechanisms, monitoring requirements, and accountability structures before deploying autonomous AI agents in operational environments.
Practical Example
An organization deploys AI agents to automate vulnerability management while requiring governance approval before agents implement infrastructure changes affecting production environments.