> 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/comparison/armorcode-vs-aquilax.md). # ArmorCode vs AquilaX [ArmorCode](https://www.armorcode.com/) and AquilaX both operate in the Application Security space, but they differ significantly in their services and products. ArmorCode's primary objective is to provide a comprehensive integration platform for third-party scanners, consolidating their outputs into a single solution. It is fair to say that ArmorCode does not use scanners directly, but relies on third-party tools. In contrast, AquilaX offers a seamless blend of proprietary and third-party scanners within a unified solution, eliminating the need for integration and management of third-party components. Additionally, AquilaX develops portions of its scanners and employs AI to optimize triaging, minimizing noise and significantly reducing integration costs. On the other hand, ArmorCode focuses on offering robust vulnerability management solutions. Contact AquilaX Engineering team to run a full comparison [https://aquilax.a](https://aquilax.ai/)i in your code base {% hint style="info" %} This analysis and report were prepared by an AquilaX employee based on publicly available information. It does not include extensive research and is intended as a preliminary comparison; we recommend conducting your own detailed assessment for more accurate insights. {% endhint %} --- # 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/comparison/armorcode-vs-aquilax.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.