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Chainguard

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Evals for Chainguard

6 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Chainguard AI products.

Security Operations
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About Chainguard

Chainguard is a software supply chain security company that provides hardened, minimal container images with verifiable provenance. Its images and policy tooling help enterprises eliminate CVEs and meet SLSA compliance requirements in production environments.

Employees

~250

Industry

Supply Chain Security

Headquarters

Kirkland, WA

Available eval packs for Chainguard

6 packs ready to run.

Why eval Chainguard AI

Chainguard's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.

The Corsac eval library for Chainguard measures four dimensions teams care about most when deploying security operations agents:

  • Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
  • Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
  • Safety gates — does it escalate or refuse when it should, and only then?
  • Operator quality — does it preserve analyst trust by surfacing the right context at the right time?

Every eval pack above is hand-authored against Chainguard's public product surface and runnable in Corsac with your own data.