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This article focuses on the operational shift in AI governance, specifically how runtime controls are necessary as autonomous agents transition from passive information retrieval to executing actions within enterprise systems. The core subject matter addresses the technical infrastructure required to manage business context, mitigate hallucination risks, and route data between different retrieval mechanisms like vector stores and knowledge graphs.

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Collibra brings runtime governance to enterprise AI agents

SiliconANGLESeptember 25, 20264 min read

Runtime governance is becoming critical as autonomous agents move from answering questions to taking action across enterprise systems. Organizations need to govern both the business context agents receive and the boundaries they operate within. Collibra BV is addressing those requirements through Live Map, Maestro, Guardian Agents and Agent Contracts. Together, these runtime governance capabilities are […] The post Collibra brings runtime governance to enterprise AI agents appeared first on SiliconANGLE.

Runtime governance is becoming critical as autonomous agents move from answering questions to taking action across enterprise systems. Organizations need to govern both the business context agents receive and the boundaries they operate within. Collibra BV is addressing those requirements through Live Map, Maestro, Guardian Agents and Agent Contracts. Together, these runtime governance capabilities are intended to reduce manual verification, rework and risk. Those costs constitute the “hallucination tax,” according to Felix Van de Maele (pictured),…

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