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Chainguard's Harness product points Anthropic's Claude model at running application builds in isolated microVMs to find and verify exploitable flaws, with human engineer review and coordinated disclosure for upstream dependencies. The core claim, that frontier models can now surface exploitable bugs at scale, is a vendor assertion that independent evaluations should test, especially for false-positive rates and coverage. For AI readers, the practical point is that model-driven security testing is moving into commercial workflows and procurement channels, where it can draw on existing AI spend.

Sursă care acoperăChainguard

Everything we announced at Chainguard Assemble London 2026

Chainguard14 octombrie 20265 min de cititArticolul și perspectiva sunt în engleză.

Chainguard Assemble London 2026 introduces new tools for secure AI development, frontier vulnerability discovery, and trusted open source.

Chainguard Assemble London 2026 brought together developers, platform engineers, and security leaders to talk about what it takes to build software safely now that so much of it is written, tested, and shipped by AI agents. Agents write code faster than teams can review it, and frontier models are uncovering exploitable vulnerabilities faster than most organizations can patch them. Meanwhile, attackers are using the same capabilities to flood public registries with malicious packages and push daily published CVEs to new highs. Today's announcements take the secure-by-default approach behind the Chainguard Factory beyond the artifacts you deploy. They reach into the environments where code…

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