Chainguard puts Claude Mythos on flaw hunting, secures coding agents and widens Libraries

What happened

today unveiled a vulnerability-hunting service that operates with frontier artificial intelligence models such as Anthropic PBC (a company legally required to pursue a stated public benefit)’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 […] The post Chainguard puts Claude Mythos on flaw hunting, secures coding agents and widens Libraries appeared first on SiliconANGLE . An AI coding agent can write a useful fix and still create a security incident along the way.

It may install a compromised dependency, follow instructions embedded in untrusted content, or run a command with credentials that give it far more access than the task requires. As teams put more agents to work in parallel, securing the code they produce is only part of the problem.