By participating in Project Glasswing and working with Claude Mythos Preview, Tenable can help customers better understand how emerging frontier AI models behave, their evolving risks and benefits for cybersecurity, and the kinds of controls organizations will need as AI adoption accelerates. Key takeaways As part of Anthropic’s Project Glasswing, Tenable is working with Claude Mythos Preview to evaluate and benchmark how the frontier AI model's advanced reasoning capabilities can improve key facets of customers’ exposure management programs, including attack path analysis, exposure prioritization, and remediation. Tenable is also interested in using Mythos Preview to drive new research, strengthen the security of Tenable, and help customers better understand how emerging frontier AI models behave, their evolving risks and benefits, and the kinds of controls organizations will need as they accelerate AI adoption. Tenable previously announced the integration of the Tenable One Exposure Management Platform with the Claude Compliance API to give Tenable customers better AI visibility and governance capabilities, along with Claude-powered workflows in Tenable Hexa AI, the agentic engine of the Tenable One platform. Over the past year, it has become increasingly clear that AI is going to fundamentally reshape cybersecurity. Not eventually. Now. The pace of vulnerability discovery is accelerating. Attack surfaces are expanding faster than ever. Security teams are already overwhelmed trying to determine what actually matters. At the same time, frontier AI models like Claude Mythos Preview are demonstrating that new capabilities in reasoning and agentic workflows are on the horizon and could significantly accelerate cyber offense and challenge cyber defense over the next few years. Tenable joining Project Glasswing is a strategic step forward for defenders, and an extension of our existing partnership with Anthropic . We also believe the industry is entering a period where defender advantage will not come from access to any single model. It will come from understanding what matters most, reducing exposure before attackers strike, and coordinating remediation at the speed modern threats demand. Improving what matters most The industry already has more findings than humans can realistically process. The real challenge is understanding what matters most. Which exposures are actually dangerous? Which combinations create meaningful attack paths? What should be fixed first? What actions will materially reduce risk? Those are exposure management problems. We’re working with frontier AI models to evaluate and benchmark how advanced reasoning capabilities may improve exposure analysis, attack path understanding, prioritization, and remediation decision-making to help our customers and partners improve their own security and risk management initiatives. As part of Project Glasswing, we’re particularly interested in driving new research using Mythos Preview to better understand where it can help reinforce existing security analysis, and strengthen our own defenses by using frontier models to improve the security of Tenable. We also plan to use Mythos alongside other models to help challenge assumptions, and identify relationships and risk patterns faster than traditional approaches alone. We believe frontier models will increasingly become another important source of security insight and telemetry flowing into exposure management platforms. The long-term differentiator for defenders will not be access to a single model. It will be the ability to combine those signals with authoritative context, asset intelligence, attack path analysis, and coordinated remediation across the enterprise. Understanding the AI attack surface Another important reality is that organizations are increasingly responsible for AI systems they did not build themselves. That creates a rapidly expanding attack surface. Our goal is simple: when meaningful advances in AI capabilities arrive, we will be ready to translate them into practical customer value quickly and responsibly. Participating in frontier AI initiatives like Project Glasswing help us better understand emerging model behaviors, evolving risks, and the kinds of controls organizations will need as AI adoption accelerates. That learning directly informs both our products and our own internal security practices. The future of cybersecurity One thing is becoming increasingly clear: frontier AI capabilities will not remain rare for long. Capabilities that seem extraordinary today will eventually become widely available across the industry, including to attackers. In that world, defender advantage will not come from access to any single model. It will come from understanding what matters most, reducing exposure before attackers strike, and coordinating remediation at the speed modern threats demand. That is the work we’re focused on at Tenable.That is our commitment to our partners and customers. And we’re excited to be doing it alongside Anthropic and the broader Project Glasswing community.

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