File analysis solutions use simple classification methods based on metadata tags, keywords, or terms lists. Some solutions leverage conceptual classification of the file content and combine these methods with found documents, images, or data entities to improve the accuracy of the categorization. Other solutions take it a step further with machine learning and guided learning using sample documents, which enable you to define the classifications to be used.
For example, a Human Resources document with health or insurance information can use a data classification policy based on sample data. For other elements, such as age and location, you can apply a risk score and additional permissions to further define the policy.