The system that learns from the noise
A false positive should happen once.
Every dismissed finding teaches Casco something new about your application. Casco makes the reasoning visible as editable Application Context. Future tests use it before another false positive is created.
Context compounds
Your application changes. Its security context should keep up.
Context tuning already drives false positives below 1%. Automatic refinement makes that knowledge visible to your team and keeps it current as new product behavior ships.
Closed-loop learning
Watch the system learn.
Finding reviewed
CAPTURED IN CASCO / JULY 28, 2026Start with the finding.
The engineer reviews the real finding, its impact, and the application behavior that Casco observed.
Finding reviewedOne dismissal teaches the system. Every operation after it starts smarter.
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The context is yours to inspect, edit, and extend.
Every automatic addition lands in one settings surface with its source attached. Your engineers can refine it as the application evolves, without waiting for another false positive.
The engineer reviews the behavior and marks it as accepted risk.
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Prevent, then verify
Stop tuning after the alert. Start tuning before it.
New feature ships
False positive occurs
Engineer explains the context
Tuning happens afterward
Decision reasoning is captured
Context updates automatically
Engineer reviews before release
Next test begins informed
Bring us your noisiest workflow
Make every decision improve the next one.
See how Casco turns false-positive reasoning into visible, reusable context your security team controls.
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