Invicti introduced a new capability that employs AI to assign predicted risk scores to web applications. This feature helps organizations gain a strategic view of their overall application security risk and prioritize remediation efforts accordingly.
Predictive Risk Scoring allows organizations to determine which web applications should be scanned first without requiring scanning resources or customer data. The capability remaps the application security testing process by profiling and calculating a risk score for all discovered web applications before scanning begins.
Predictive Risk Scoring addresses the gap in vulnerability severity information by applying an AI model on discovered assets and calculating a risk score based on a set of 220 parameters with a minimum 83% confidence level.
Read more: Invicti Launches First AI-Enabled Predictive Risk Scoring for Application Security Testing
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