> For the complete documentation index, see [llms.txt](https://cortex-docs.paloaltonetworks.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cortex-docs.paloaltonetworks.com/cortex-cloud-runtime-security/threat-management/analytics/ai-detection-and-response-in-cortex-cloud/data-sources-and-supported-services.md). # Data sources and supported services AIDR uses multiple data sources to gain visibility into AI usage in the cloud and identify AI-specific threats. Cloud audit logs are used for infra-level detections, such as model theft, denial of ML service, and training data poisoning. Cloud audit logs can be collected using existing data collectors. At this time, prompt logs are used to detect which models are being used. See [Collect prompt logs](/cortex-cloud-runtime-security/threat-management/analytics/ai-detection-and-response-in-cortex-cloud/collect-prompt-logs.md) for instructions on configuring prompt log collection. The following AI/ML managed services are supported: * AWS: Amazon Bedrock, SageMaker * Azure: Open AI * GCP: VertexAI --- # 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://cortex-docs.paloaltonetworks.com/cortex-cloud-runtime-security/threat-management/analytics/ai-detection-and-response-in-cortex-cloud/data-sources-and-supported-services.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.