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Tenable Blog

Oracle September 2026 Critical Security Patch Update | Tenable® ASD Essential Eight is changing: What you need to know How it works: Inside the agentic harness for Tenable Hexa AI Introducing the CyberAgents Exchange AI Inspector: Rigorous review for community-built AI September 2026 Microsoft Patch Tuesday | Tenable® Claude Mythos 5 is coming to Tenable One, powering the new “Adversary View” CVE-2026-75650: StyleSmuggler Adobe Commerce FAQ | Tenable® Why post-quantum defense starts with crypto visibility Building an exposure management program the business tr Tenable & SentinelOne: 93 CVEs Expose Edge Risk | Tenable® Siemens S7 PLC threat: What you need to know | Tenable® Oracle Critical Security Patch Update August 2026 | Tenable® How to detect & respond to cloud ransomware attacks in Azure Agentic AI Threat Cluster: What It Means for Your Exposure August 2026 Microsoft Patch Tuesday | Tenable® Agentic AI for Cybersecurity: See Security Teams Built at Black Hat USA 2026 An inside look at code security with Claude Mythos Preview Watch Tenable Hexa AI automate remediation with agentic routines How Claude Mythos Preview is changing code security at Tenable What do federal & state cyber rules mean for water utilities? What Canada’s Bill C-8 means for critical infrastructure security Minnesota Water Cyber Attack and CISA Advisory AA26-097A Oracle July 2026 Critical Patch Update 1235 CVEs | Tenable® AI agent config attacks: How attackers turn trusted Dev harness files into payloads wp2shell: WordPress Core Pre-Auth RCE FAQ | Tenable® SharePoint CVEs FAQ: CVE-2026-56164, CVE-2026-32201, CVE-2026-45659 | Tenable® Build agentic AI security at Tenable Swarm, Black Hat 2026 SonicWall CVE-2026-15409 and CVE-2026-15410 zero-day exploited | Tenable® Understanding Anthropic’s new AI agent Claude Tag’s access model in Slack 5 reasons to integrate AppSec data with your exposure management platform
Tenable joins Anthropic’s Project Glasswing to advance AI...
Vlad Korsunsky · 2026-06-05 · via Tenable Blog

Tenable joins Anthropic’s Project Glasswing to test the Claude Mythos frontier AI model and advance AI for cybersecurity

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

  1. 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.
     
  2. 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.

Learn more

  • Announcements
  • Exposure Management
  • Exposure Response
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  • Vulnerability Management