Topic

Tool-Use Risk

Tool-use risk refers to the dangers and vulnerabilities that emerge when AI systems are granted the ability to interact with external tools, applications, and systems to accomplish tasks. This includes risks such as unauthorized actions, data breaches, unintended side effects, and the amplification of AI errors when tools execute decisions in real-world environments. For enterprise AI governance, managing tool-use risk is critical because it directly impacts operational security, data protection, and liability when AI systems operate with elevated permissions or access to sensitive business systems.

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Corporate PolicyGlobal2026-07-07

OneTrust's AI Governance Committee Framework Sets a Practical Bar for Agentic AI Controls, Including Traceability and Least-Privilege Requirements

OneTrust has published a detailed account of how it built its own AI Governance Committee, including a structured 'buy versus build' decision framework for third-party AI tools and specific controls for agentic AI systems. The guidance requires decision control restrictions, full traceability of autonomous actions, and least-privilege data governance for any AI that operates with meaningful autonomy. The publication functions as a practitioner implementation guide that compliance teams at other enterprises can benchmark against their own programs.

agentic AI governance committee traceability tool-use risk least privilege OneTrust third-party AI risk AI procurement