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Traditional Static Application Security Testing (SAST) tools generate excessive noise, overwhelming security teams with false positives. The AquilaX AI-powered Findings Review Model transforms this process by automating vulnerability classification with high accuracy and efficiency. Using machine learning and real-world security insights, it significantly reduces false positives, streamlines triage, and enhances DevSecOps workflows. This cutting-edge AI solution ensures that security teams focus on critical threats, eliminating the manual burden of reviewing low-risk findings.
Download the white-paper here:
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# Agent Instructions: Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter:
```
GET https://docs.aquilax.ai/blog/ai/ai-driven-vulnerability-triage.md?ask=
```
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The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.