> 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/malware-scanning.md). # Malware Scanning Malware Scanning is the process of detecting malicious software embedded within your codebase or dependencies. Malware can introduce backdoors, compromise sensitive data, or disrupt services, leading to severe financial and reputational damages. AquilaX AI’s Malware Scanning leverages advanced ML techniques to analyze code, binaries, and third-party libraries for hidden malware. By incorporating this into the security pipeline, organizations can ensure that they are not unknowingly introducing malicious code into their applications. **Why Malware Scanning Matters:** • Prevent malware from entering production. • Protect sensitive systems and data. • Mitigate risks of backdoors and malicious exploits.\\ AquilaX AI offers a comprehensive suite of modern security tools powered by machine learning, helping organizations eliminate false positives and gain contextualized insights into vulnerabilities. By scanning for secrets, PII, and code vulnerabilities, and ensuring the security of APIs, containers, and infrastructure-as-code, AquilaX AI enables businesses to build secure, resilient applications that stand up to today’s sophisticated cyber threats. --- # 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/malware-scanning.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.