Philter finds, identifies, and removes sensitive information, such as Personally Identifiable Information (PII) and Protected Health Information (PHI), from text. Philter can identify over 30 types of sensitive information.

Using state of the art natural language processing, Philter analyzes text for many types of sensitive information that when found can be redacted, masked, encrypted, hashed, replaced by static values, or anonymized by realistic random values. You can apply conditional logic based on attributes such as the type or content of sensitive information to have fine-grained control over how sensitive information is identified and manipulated.

Philter's API allows for integrating Philter's powerful capabilities into your custom applications.