AI security tools that can only detect threats in English offer limited protection. Here’s how Tenable trained our threat detectors to process nine additional languages and understand thousands more, without the need for a translation model, which increases costs and slows down processing. Key takeaways Tenable One AI Exposure’s detectors, covering AI threats, harmful content, and other policy risks, were originally English-centric. To assess threats written in other languages, our product…
Community-built AI agents, skills, and MCP servers are landing in SOC workflows fast. Here’s what the Exchange Inspector tests before a listing earns its vetted tag on the CyberAgents Exchange. Three tools have already passed. Key takeaways Every Inspector-vetted listing clears three gates: an automated check, a frontier model assessment, and human verification. Tenable uses Tenable One AI Exposure to screen for prompt injection and exposed secrets, and OpenAI GPT Cyber models to assess the…
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 environmentKey takeawaysAI 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…
Discover how Tenable’s shift to an AI-driven exposure management program helped Tenable’s CSO, Robert Huber, overcome tool sprawl, unify data silos, mitigate the risk of rapid AI adoption, and shift from presenting granular, technical metrics to communicating business risk that the C-suite and the board can understand.Key takeawaysSecurity tool sprawl and data silos make it difficult for CISOs to holistically and accurately assess their organizations’ cyber risk.An exposure management program…
Agentic AI armed attackers first, but it also put real building power in defenders’ hands. Here’s what security practitioners built in two days at Black Hat USA 2026, and how the CyberAgents Exchange keeps that work compounding long after the event.Key takeawaysBuilding defensive cybersecurity tooling no longer requires a developer. Agentic tooling drove the cost of finding and exploiting a vulnerability down to 1990s levels; it also removed the engineering barrier that kept defenders from…