Engineering evolves in predictable patterns.
Manual deployments became CI/CD.
Manual testing became automated testing.
Infrastructure became Infrastructure as Code.
Security became DevSecOps.
AI engineering is now beginning the same transformation.
Today, many AI applications are tested manually before release.
That works while systems are small.
It doesn't scale once AI agents become critical production infrastructure.
Teams will increasingly expect AI security to be automated, repeatable, and integrated into their development lifecycle.
Security won't be something you remember to run before shipping.
It will be part of the pipeline.
That's the direction we're building toward with Crucible.
Not just another scanner.
A platform for continuous AI security engineering.
Pytest for AI Agents.
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