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The article discusses the need for runtime governance in AI agents to balance autonomy with compliance, introducing SAFi, an open-source framework that enforces policies in real-time and audits actions.
The author surveyed 20 agentic AI founders and found that 17 rely on temporary workarounds for agent access control due to a lack of verifiable authorization layers. This highlights a significant security and auditing gap in production AI agents handling sensitive data.