# How does Nightfall classify data? Nightfall uses machine learning to classify data. Our deep learning-based classifiers are trained on massive volumes of data to yield high accuracy. Unlike traditional methods, Nightfall considers the context surrounding a given token in order to accurately classify it. This means Nightfall performs well on unstructured and ambiguous data, which is increasingly common in enterprises today. Nightfall parses and scans 100+ file types, including images, screenshots, compressed folders, PDFs, etc. Our classifications are fed into the Nightfall platform so you can review & remediate the findings, or leverage them in your own way via our Firewall for AI. --- # 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://help.nightfall.ai/faqs/data_classification.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.