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

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

Tenable describes the architecture of Tenable Hexa artificial intelligence (AI), an autonomous AI agent for security exposure management, focusing on governance controls that prevent agents from making unauthorized or erroneous changes to production environments. The company built a "harness" layer that sits outside the model to enforce least privilege, require human approval before state changes, and maintain complete audit trails of agent actions. Tenable details design lessons learned during development, including handling ambiguous requests, preventing confident false answers about the environment, managing edge cases in queries, and detecting quality regression as models evolve.

Why it matters: Security teams considering autonomous AI agents for remediation and patch management need to understand how governance, approval gates, and audit controls mitigate the risk of unintended changes to production systems.

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