Smarter DAST scans with Intelligent Finding Analytics (IFA)

Intelligent Finding Analytics (IFA) uses artificial intelligence (AI) to improve DAST scan accuracy by minimizing false positives and optimizing test selection.

Overview

Intelligent Finding Analytics (IFA) uses artificial intelligence (AI) and machine learning (ML) to analyze data, discover patterns, and make predictions. This process transforms data into actionable insights. IFA uses advanced methods to find deeper meanings and make smart decisions beyond regular data analysis.

For Dynamic Application Security Testing (DAST), IFA augments scan accuracy and coverage. It uses AI, machine learning, or statistical analysis to improve test coverage and accuracy by minimizing false positives and optimizing test selection.

Currently, IFA in AppScan Enterprise focuses on two main applications:

  • Error Page Detection with Azure OpenAI

    This feature augments AppScan heuristics to improve error page detections. This advanced AI tool enhances the accuracy of identifying and analyzing error pages within applications, which ensures more precise security assessments.

  • Test optimization

    This feature uses AppScan's intelligent test filtering to select the most relevant tests while it reduces false positives. A full regular scan, which involves thousands of tests, can be time-consuming. To save time during early development or for a quick security check, you can use test optimization, which offers three speed levels: Fast, Faster, and Fastest. This method uses intelligent algorithms and statistical analysis to bypass less critical tests and focuses only on the most common and severe vulnerabilities. This focus significantly reduces the scan time. For a more detailed examination, you can run a full scan later in the development process or at specific intervals.