> For the complete documentation index, see [llms.txt](https://docs.aquilax.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.aquilax.ai/user-manual/scanners/sast.md). # SAST Static Application Security Testing (SAST) is a method of analyzing source code, binaries, or bytecode to find security vulnerabilities early in the development cycle. SAST tools inspect your codebase before it’s deployed, ensuring that weaknesses like SQL injection, cross-site scripting (XSS), and buffer overflows are identified and mitigated early.\\ AquilaX AI’s SAST offering goes a step further by using ML to eliminate false positives and provide highly contextualized security findings. This empowers developers to remediate security issues quickly and efficiently without disrupting the development workflow. **Why SAST Matters:** • Identify vulnerabilities early in development. • Reduce costs by fixing issues before deployment. • Enhance application security posture. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://docs.aquilax.ai/user-manual/scanners/sast.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.