The biggest challenge with AI security isn't knowing what to test.

It's finding the time to test everything.

Traditional security reviews are often manual:

Write a payload.
Send it.
Inspect the response.
Try another variation.

That approach quickly breaks down as AI systems grow more complex.

Crucible takes a different approach.

Instead of testing one prompt at a time, it automatically launches 90+ adversarial payloads in under 60 seconds against any HTTP-accessible AI agent and generates a structured security report.

Those payloads span multiple attack categories, including prompt injection, goal hijacking, jailbreaks, MCP security, memory poisoning, and tool injection. The framework is designed to integrate with CI/CD pipelines so testing can happen continuously instead of only before release.

Fast security testing isn't just about convenience.

It's what makes continuous AI security practical.

Because if testing takes hours, teams won't run it on every deployment.

If it takes under a minute, they can.

Pytest for AI Agents.

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