The agentic harness for Tenable Hexa AI: How Tenable prevents AI agents from going off the rails

This content describes the design and operational controls implemented by Tenable for their Hexa AI agent to prevent unintended or unsafe actions in production security environments. It explains how Tenable treats AI agents as untrusted insiders, enforcing strict boundaries on their visibility and capabilities, requiring human approval for changes, and maintaining full audit trails. The discussion highlights common failure modes encountered during development, such as ambiguous commands, lack of environment-specific knowledge by the AI, and handling of large or complex queries. The focus is on governance and safe integration of AI decision-making rather than a specific vulnerability or exploit.

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