Filter sensitive information from text

Philter finds, identifies, and removes sensitive information, such as PII and PHI, from text.

Philter®

Philter finds, identifies, and removes sensitive information, such as Personally Identifiable Information (PII) and Protected Health Information (PHI), from text. Philter can help you with text deidentification, anonymization, tokenization, masking, encryption, and redaction.

Philter’s API provides powerful filtering capabilities for natural language text. When text is received, Philter analyzes and processes the text for sensitive information. Any sensitive information found is manipulated based on Philter’s configuration.

Philter is available on AWS, Azure, Google Cloud, and as a Docker container.

AWS Marketplace

 

Learn More – We will be in touch to provide more information about Philter.




    Key Features of Philter

    Check out more of Philter’s features.

    Designed for streaming text

    Philter was created for use in streaming pipelines managed by Apache Kafka, Apache Flink, Apache NiFi, Amazon Kinesis, and others.

    Philter can find and remove sensitive information from the text in your pipelines.

    Control over data redaction

    Keep your documents useful! Philter can replace sensitive information with similar but random values so documents can remain useful for secondary purposes. Philter can generate random names, phone numbers, and more. You can also apply different redaction logic based on conditions.

    Many types of sensitive information

    Philter can currently identify:  Ages, Bitcoin Addresses, Cities, Counties, Credit Cards, Custom Dictionaries, Custom Identifiers (medical record numbers, financial transaction numbers), Dates, Drivers License Numbers, Email Addresses, IBAN Codes, IP Addresses, MAC Addresses, Passport Numbers, Persons' Names, Phone/Fax Numbers, SSNs and TINs, Shipping Tracking Numbers, States, URLs, VINs, Zip Codes

    Tailored for different domains

    Philter’s NLP model can be changed based on your domain and use-case to offer increased performance. We offer specialized models for working with healthcare and COVID-19 text. We are constantly improving our models to provide the best possible performance.

    API-driven

    Use Philter’s API to filter text. Use our open-source SDKs, curl, or any other tool of your choosing.

    Quick start guide

    Follow the quick start guide to get up and running and filtering text in as little as 15 minutes.

    AWS Marketplace