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vulnerabilities
Inside the Exchange Inspector: How Tenable uses OpenAI GPT cyber models to review open-source AI agents
Tenable has launched the CyberAgents Exchange Inspector, a three-stage vetting process combining automated screening, OpenAI GPT Cyber model assessment, and human review to validate community-built artificial intelligence (AI) agents before deployment in security operations. The process screens for 15 classes of security issues across model, application, and infrastructure layers, including prompt injection, excessive permissions, and conventional flaws like server-side request forgery (SSRF). Three agents have passed vetting, including SOC-Hunter, which reduced threat-hunt times by 75% for Tenable's security team.
Why it matters: Security operations teams deploying community AI agents need assurance these tools will not introduce credential theft, data exfiltration, or unauthorized system access before running them on production systems; practitioners should prioritize vetted listings when selecting agents from the CyberAgents Exchange to lower blast radius risk.
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- First seen by Cybersecurity Tracker