# Introducing the CyberAgents Exchange AI Inspector: Rigorous review for community-built AI

DevFeed: [Introducing the CyberAgents Exchange AI Inspector: Rigorous review for community-built AI](<https://devfeed.tech/articles/introducing-the-cyberagents-exchange-ai-inspector-rigorous-review-for-community-built-ai-8261.md>)

Original publisher: [Read original article](<https://www.tenable.com/blog/ai-agent-security-openai-tenable-cyberagents-exchange-inspector>)

Author: Mark Beblow

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

Content type: article

Language: en

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

Topics: [Securing AI](<https://devfeed.tech/topics/securing-ai.md>), [Cybersecurity](<https://devfeed.tech/topics/cybersecurity.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [open-source-security](<https://devfeed.tech/topics/open-source-security.md>), [Model Context Protocol (MCP)](<https://devfeed.tech/topics/model-context-protocol-mcp.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [cybersecurity](<https://devfeed.tech/tags/cybersecurity.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [openai](<https://devfeed.tech/tags/openai.md>), [review](<https://devfeed.tech/tags/review.md>), [securing-ai](<https://devfeed.tech/tags/securing-ai.md>)

## AI overview

Tenable introduces the CyberAgents Exchange AI Inspector, a security-review process for submissions to its registry of AI agents, skills, MCP servers, and multi-agent playbooks. It combines GPT Cyber models, Tenable security expertise, and human oversight to apply deeper review to higher-risk submissions.

## Source excerpt

Open-source registries for AI agents are only effective when they include a rigorous, transparent security review process for community submissions. That's why for its new CyberAgents Exchange registry, Tenable paired its exposure management expertise with OpenAI GPT Cyber models to create the CyberAgents Exchange AI Inspector. Key takeaways The Exchange Inspector combines Tenable's exposure detection with OpenAI's GPT Cyber models and with human oversight to rigorously vet submissions made to the CyberAgents Exchange. Securing AI agents requires analyzing a broad attack surface that includes LLM instructions, tool-chaining permissions, and prompt injection risks, going far beyond traditional software security. The CyberAgents Exchange inspection process dynamically matches the appropriate AI model tier to each submission's risk level, ensuring comprehensive vetting without excessive computational overhead. Recently at OpenAI's "Intelligence at Work: Cyber Summit," Tenable and OpenAI announced a groundbreaking review process to vet the security of open-source AI agents, skills, MCP servers, and multi-agent playbooks, building on our June partnership. The new CyberAgents Exchange AI Inspector, which is built into our CyberAgents Exchange registry, will help security teams adopt agentic AI quickly and confidently. Powered by Tenable, the CyberAgents Exchange is a purpose-built, cybersecurity-native registry for AI agents, skills, MCP servers, and multi-agent playbooks. Launched in August as an open source and vendor-agnostic registry, the CyberAgents Exchange has already grown to host more than 100 AI listings, including a wave of contributions created at Tenable's SWARM build event at Black Hat USA. From the CyberAgents Exchange's inception, we understood the importance of a rigorous, comprehensive review process for agents submitted by contributors. Every submission to the CyberAgents Exchange gets a baseline review prior to being listed. Now, we are further strengt