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Chainguard Says Its Athena System Used Anthropic's Mythos to Find Over a Dozen Flaws in Six Hours

November 6, 2026 at 06:51 EST

Security

Chainguard says its Athena system used Anthropic's Mythos model to identify more than a dozen vulnerabilities in a heavily tested open-source project within six hours, with most of the flaws being pre-authentication remote code execution (RCE) bugs.

Chainguard · AI-assisted vulnerability research

An AI system reports more than a dozen flaws in a heavily tested open-source project in six hours

Chainguard says its Athena system, built on Anthropic's Mythos model, found mostly pre-authentication remote code execution bugs. The company reports that every finding was reproduced three times in a clean virtual machine before it was reported.

6 hrs

Time window in which the results were reported

12+

Vulnerabilities identified ("more than a dozen")

3×

Reproduction runs per finding, in a clean VM

Most

Findings were pre-authentication RCE bugs

Scale of the claim, drawn to proportion

Each column uses its own unit. One block = one unit of that measure.

6 hours

one block per hour

3 runs

per finding, clean VM

12+ findings

dashed block = "more than a dozen"

How a finding moved through the process

Step 1

Athena analyzes the project

→

Step 2

Candidate flaw identified

→

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