Welcome
Intelligent Finding Analytics (IFA)
Intelligent Finding Analytics (IFA) uses artificial intelligence (AI) and machine learning (ML) to analyze data, discover patterns, and make predictions, ultimately transforming data into actionable insights. IFA goes beyond regular data analysis by using advanced methods to find deeper meanings and make smart decisions.
AI for smarter error page detection
Intelligent Finding Analytics (IFA) in Dynamic Application Security Testing (DAST) augments error page detection by reducing false positives and enhancing test results. HCL AppScan DAST uses heuristic and comprehensive methods to identify error pages, with Gen AI now selectively employed to confirm errors and handle edge cases, thus increasing accuracy and minimizing scan times.

Welcome
Welcome to the documentation for HCL AppScan Standard version 10.10.0
Getting started
This section provides a short tour of basic product features and procedures, including using the wizard to set up a scan.
Configuration
You configure a scan by choosing settings that best describe your application, and the kind of testing you want.
Intelligent Finding Analytics (IFA)
Intelligent Finding Analytics (IFA) uses artificial intelligence (AI) and machine learning (ML) to analyze data, discover patterns, and make predictions, ultimately transforming data into actionable insights. IFA goes beyond regular data analysis by using advanced methods to find deeper meanings and make smart decisions.
- DAST for LLM-augmented applications
  Dynamically test large language model (LLM) features in your application for sensitive information disclosure, prompt injection, data exfiltration, tool abuse, content policy violations, and more before attackers exploit them. Configure AppScan to target chat endpoints, retrieval-augmented generation (RAG) pipelines, and other LLM components, and then review reproducible findings with full transcripts and remediation guidance.
- AI for smarter error page detection
  Intelligent Finding Analytics (IFA) in Dynamic Application Security Testing (DAST) augments error page detection by reducing false positives and enhancing test results. HCL AppScan DAST uses heuristic and comprehensive methods to identify error pages, with Gen AI now selectively employed to confirm errors and handle edge cases, thus increasing accuracy and minimizing scan times.
Manual exploring
Manual exploring enables you to explore specific parts of your application, filling in fields and forms as you go. This can be a way of ensuring that particular areas of the site are covered, and that AppScan has the information needed to complete forms correctly.
Scanning
Learn how to start a scan, and what happens during the scan; how to manually manipulate the Explore stage, and how to export the results of a scan.
Data
Data view is populated with information about the structure of the site during the Explore stage of the scan.
Issues
Issues view provides access to the results of a scan. You can view results at a high level or select specific tests or objects and access more details. These details include how to fix, requests/responses, and differences between the test variants that resulted in issues. You can manipulate the severity of issues, resend tests (with or without modifications), and create reports based on Issues.
Reports
Tools
This section explains how to use additional tools provided with HCL AppScan Standard.
Integrations
This section describes integrations of other applications with AppScan Standard:
Best practices
This section contains some best practices and use cases for advanced users.
FAQ & Troubleshooting
CLI
This section describes the syntax and options available using the Command line interface.
References
Menus and toolbar summaries, and glossary

AI for smarter error page detection

Intelligent Finding Analytics (IFA) in Dynamic Application Security Testing (DAST) augments error page detection by reducing false positives and enhancing test results. HCL AppScan DAST uses heuristic and comprehensive methods to identify error pages, with Gen AI now selectively employed to confirm errors and handle edge cases, thus increasing accuracy and minimizing scan times.

Configure Azure OpenAI settings to improve the error page detection. For more information, see Configuring Azure OpenAI.