Validation
Validation means Guardix does not treat a single pass as the final word. Multiple independent AI engines review and compare candidate issues.
Why this matters
Section titled “Why this matters”- Fewer false positives — noise is reduced when different engines disagree or cannot reproduce a claim.
- Clearer confidence — items that survive cross-checks tend to be more actionable.
- Better prioritization — your team spends time on issues that hold up under scrutiny.
What you see
Section titled “What you see”Each finding may include:
- Severity — how critical the issue is if real
- Confidence — how strongly the evidence holds up after validation
- Evidence — code locations, rationale, and supporting detail
Exact labels and layouts follow the in-product UI.
Limits
Section titled “Limits”Validation improves accuracy but does not guarantee completeness. Novel bugs, integration issues, or economic attacks may still require human review.
See also Accuracy and false positives.