Security analysis
ML Reports
Review model-assisted source findings and tune the displayed result set.
An ML Report summarizes files scanned, functions scanned and vulnerabilities. Use Prediction Threshold and Top n Percent Lines to focus the displayed result set. The controls change prioritization and presentation; they do not turn model output into verified evidence.
The console indicates whether a result is current or stale and provides a rerun when the project is eligible. Confirm each important finding against the source, data flow and affected revision before remediation or suppression.