Filter sensitive information from text
Philter® identifies and removes sensitive information such as PHI and PII from natural language text. Philter can be deployed in less than 10 minutes in AWS, Azure, and Google Cloud Compute Engine.
Customizable types of sensitive information
Philter can find persons names, phone numbers, SSNs and other unique identifiers, and more. Create filter profiles to define the types of sensitive information to identify.
State-of-the-art NLP
Philter uses state-of-the-art natural language processing technology to analyze the text. Philter’s NLP models are trained and refined for optimal performance.
Platform agnostic
Use Philter in AWS, Azure, GCP, or on-premises. Philter keeps your data in your private cloud. Philter Enterprise Edition is certified for RHEL8.
Featured Solution: Apache NiFi and Philter
Use Philter with Apache NiFi to remove sensitive information from text in your data flow. Philter can process the content of flowfiles to redact sensitive information without requiring any custom NiFi processors or custom configuration.
Schedule a 30 minute demo of Philter. We’d love for you to see it.