Agentic AI needs governance it can't ignore

The text discusses the challenges and solutions related to the governance of AI agents within enterprises, emphasizing the concept of "agent sprawl" and "shadow AI" due to the ease of deploying AI models without proper oversight. It highlights the limitations of traditional authorization methods, such as borrowing human credentials or using service accounts, which fail to account for the unpredictable nature of AI agents that can bypass or modify their own security measures. The proposed solution is the Agentic Data Plane, a governance framework that enforces policies out-of-band—beyond the agents' reach—ensuring that governance is not merely a suggestion but a robust, unalterable rule. This framework includes features like the Out-of-Band Policy Engine (OBPE), which governs data access and interactions at the server level, independent of individual agents, and allows for fine-grained, attribute-driven permissions. The text also introduces the Agent Network View and forthcoming features like an agent kill switch, emphasizing the need for comprehensive governance that integrates seamlessly with existing systems and operates within the organization's own cloud infrastructure, thereby maintaining control and security over sensitive data. The overall message is that effective governance requires an infrastructure layer specifically designed for managing the unique challenges posed by AI agents, rather than attempting to perfect the agents themselves.

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