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

DevFeed: [The agentic harness for Tenable Hexa AI: How Tenable prevents AI agents from going off the rails](<https://devfeed.tech/articles/the-agentic-harness-for-tenable-hexa-ai-how-tenable-prevents-ai-agents-from-going-off-the-rails-8264.md>)

Original publisher: [Read original article](<https://www.tenable.com/blog/how-agentic-harness-works-tenable-hexa-ai>)

Author: Raj Agrawal

Published: 2026-09-10T13:00:00Z

Content type: article

Language: en

Sources: [Tenable Blog](<https://devfeed.tech/sources/tenable-blog.md>)

Topics: [Large Language Model](<https://devfeed.tech/topics/llm.md>), [agent observability](<https://devfeed.tech/topics/agent-observability.md>), [Architecture & Design](<https://devfeed.tech/topics/architecture-design.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [audit-trail](<https://devfeed.tech/tags/audit-trail.md>), [llms](<https://devfeed.tech/tags/llms.md>), [security](<https://devfeed.tech/tags/security.md>)

## AI overview

Tenable describes an agentic-AI harness that constrains model context and tool use, validates actions, requires human approval, and records activity to protect production security environments.

## Source excerpt

Learn why Tenable treats agentic LLMs as untrusted insiders, and how we've made sure you can control and monitor the AI agents making changes in your production security environment Key takeaways AI models can quickly understand data, but not your business. While modern AI models are great at reasoning, they don't automatically understand your unique environment or who is allowed to do what. The "harness" is the custom-built layer that translates AI intelligence into safe, controlled actions specific to your organization. AI requires a supervisor. Tenable treats our AI agents like untrusted insiders. Instead of relying on the AI to police itself, the harness strictly limits what the AI can see and do, and ensures a human reviews and approves any changes before they happen in your environment. Trust requires proof. The harness ensures that every action AI proposes or takes is fully recorded, giving you an audit trail to confidently hand off real work to AI without losing control. Every security vendor has an AI agent. The demos are good. They are supposed to be good, because a demo runs against data that nobody minds breaking. The questions worth asking a vendor about their AI agents are the ones that come after the demo: What happens when the agent is wrong? What happens when someone feeds the agent a prompt designed to manipulate it? If the agent changes something in our environment, what evidence exists afterward about what it did and who authorized its action? When developing Tenable Hexa AI, the agentic AI engine of the Tenable One Exposure Management Platform, we tackled a difficult and critical problem that often gets overlooked: building the underlying infrastructure, the governance layer that safely turns the AI's decisions into actual changes without putting your production data at risk. We call this layer the harness: the runtime control environment in which the model operates. The harness decides: What context the model can see Which tools it can call Wha