> For the complete documentation index, see [llms.txt](https://help.nightfall.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.nightfall.ai/faqs/nightfall_data_types_classification.md). # What types of data does Nightfall classify? Learn the types of data that Nightfall can classify. Nightfall classifies over 100+ types of sensitive data, including forms of personally identifiable data (PII), protected health information (PHI), payment card information (PCI), credentials & secrets, and more. For example, email addresses, credit card numbers, social security numbers, API keys, passwords, and many more. These data types support compliance regimes like HIPAA, GDPR, HIPAA, PCI-DSS. Likewise, Nightfall’s detectors apply to a broad variety of industries and geographies (countries in US, EMEA, APAC, etc.). Nightfall also supports custom detectors, as well as features such as context rules & exclusion rules that enable you to further tune detectors to your specific business needs and increase accuracy. Contact us at to determine if Nightfall supports detectors that meet your needs. --- # 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://help.nightfall.ai/faqs/nightfall_data_types_classification.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.