Chainguard puts Claude Mythos on flaw hunting, secures coding agents and widens Libraries
Secure software supply chain solution provider Chainguard Inc. today unveiled a vulnerability-hunting service that uses frontier artificial intelligence models such as Anthropic PBC’s Claude Mythos 5.1, as well as two products for securing AI coding agents and an expansion of Chainguard Libraries. All four arrived at the company’s Assemble London conference today. Vulnerability hunting falls to…
AI-powered vulnerability detection service, Chainguard Harness, debuted at the Assemble London conference today. The service utilizes Anthropic PBC's Claude Mythos 5.1 model alongside two products designed to secure AI coding agents. Additionally, Chainguard Libraries expanded to support five programming languages, including Java, Python, JavaScript, Go, and .NET.
Harness reports flaws only after successfully reproducing them in a live customer application build. Developers benefit from a hardened, credential-free cloud environment provided by Chainguard Workspaces, which undergo continuous integration tests through Chainguard Checks before any pull request is opened. Workspaces and Checks cater to teams with long migrations and high permissions, ensuring secure execution without exposing real credentials.
The service is currently in beta, with Workspaces and Checks available, and Harness awaiting a waitlist for its own testing.
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