Keeping a human in the loop is one part of AI agent resilience
As AI agents take on increasing responsibility for enterprise operations, organizations must establish governance mechanisms to ensure resilience and security. Keeping humans in the loop represents one critical strategy for controlling AI agent actions and decisions. Security teams must develop detection capabilities to identify problems and recovery procedures to mitigate effects when issues occur. The growing complexity of AI trust and cyber resilience requires new frameworks as AI systems become more autonomous.
Key points
- Human oversight essential for governing AI agent actions in enterprises
- Security teams need robust detection and recovery procedures for AI agent issues
- AI trust and cyber resilience increasingly interconnected as agent autonomy expands
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