# SCA **Software Composition Analysis (SCA)** is the practice of identifying, managing, and securing open-source components and third-party libraries used within software projects. These components, while essential for modern development, can introduce vulnerabilities that attackers exploit, resulting in significant security and compliance risks. AquilaX AI’s SCA takes this a step further by combining **intelligent vulnerability scanning** with **license compliance analysis**. This dual capability allows organizations to not only detect vulnerabilities but also ensure proper use of open-source licenses within their projects. With contextual insights tailored to your application, AquilaX prioritizes the most critical risks, empowering developers to maintain robust security and compliance standards without sacrificing innovation. #### Why SCA with License Scanning Matters: * **Proactive Risk Management**: Identify and remediate vulnerabilities in open-source and third-party components before they can be exploited. * **License Compliance**: Ensure adherence to open-source license requirements, avoiding legal and operational risks tied to improper usage. * **Contextual Insights**: Understand how vulnerabilities and license conflicts impact your specific project, ensuring targeted remediation efforts. * **Enhanced Productivity**: Streamline development processes by integrating security and compliance checks directly into the development pipeline. By incorporating **license scanning** into SCA, AquilaX helps organizations stay secure, compliant, and agile, even as they leverage the power of open-source technologies. --- # 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/user-manual/scanners/sca.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.