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Claude Mythos 5 is coming to Tenable One, powering the new “Adversary View”

Tenable Blogby Eric Doerr ()5 min read3
AI summary · glm-5.3-flashSummaries by Vani AI

Tenable will integrate Anthropic's Claude Mythos 5 into Tenable One, launching Adversary View to surface exploitable vulnerability chains from scan data.

Tenable announced it is bringing Anthropic's Claude Mythos 5 into the Tenable One Exposure Management Platform, extending its Project Glasswing research work with Anthropic. The first capability, Tenable One Adversary View, will use the model's adversarial reasoning over raw scanner evidence, plugin output, live connections and low-confidence signals to identify viable vulnerability chains and ranked defensive actions. Customers will act on results through Tenable Hexa AI. Availability details for Adversary View are expected in the coming weeks; no customer deployment exists yet.

Key facts
  • Adversary View reasons over plugin output, live connections and low-confidence signals that rules engines never consumed.
  • Customers act on a ranked list of vulnerability chains with evidence and fixes via Tenable Hexa AI.
  • The work expands Project Glasswing, which used Claude Mythos Preview for internal defensive research.
  • Scope confirmation and harness-based context validation are built into the workflow; nothing new needs deploying.
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From the original article

5 min read at tenable.com

Tenable is bringing Anthropic’s Claude Mythos 5 into our enterprise security offerings. Adding frontier adversarial reasoning to the Tenable One Exposure Management Platform will help customers better anticipate how attackers could breach their environments and stay ahead of AI-fueled risk. Tenable One Adversary View, the first innovation planned from this work, will debut in the coming weeks.

Tenable Blog

By Eric Doerr · tenable.com

Read the full article at Tenable Blog

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.