> For the complete documentation index, see [llms.txt](https://docs.adsecure.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.adsecure.com/adsecure-documentation/introduction.md). # Getting Started AdSecure is an automated cyber security and ad quality solution based around an innovative crawler built on modern browser technology. Capable of simulating a wide array of devices and GEOs, AdSecure allows you to understand the end to end user journey when interacting with your ads by automatically scanning your creatives for malicious activity and poor ad quality issues in real-time. As soon as our system detects a violation, an alert notification can be sent to the advertising operation team, giving access to a comprehensive report listing all malicious links, allowing them to take the appropriate action. Using AdSecure for the first time? Start here! --- # 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 by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.adsecure.com/adsecure-documentation/introduction.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.