Philter identifies and removes sensitive information, such as Personally Identifiable Information (PII) and Protected Health Information (PHI), from natural language text.

Philter was designed to be integrated into virtually any existing system and be usable from big-data applications Apache NiFi, Apache Kafka, and AWS Kinesis.

  • Philter is available on AWS, Azure, and Google Cloud.

Capabilities of Philter

  • Philter uses state-of-the-art natural language processing (NLP) and trained neural networks to identify sensitive information such as PII and PHI in text.
  • Philter can replace sensitive information with similar but random values. With consistent anonymization, documents can remain useful for secondary purposes by not losing meaning.
  • Customizable filter profiles give full control over how sensitive information is identified and manipulated.
  • Supports logic to manipulate sensitive information based on conditions such as zip code population and textual content.
  • Can optionally store locations of sensitive information in text to a database for future reference.

Compare Editions

Philter is available in two editions. The primary difference in the two editions is that the Enterprise edition includes support for usage of Philter with streaming applications.

 Standard EditionEnterprise Edition
Customizable PHI and PII Filtering Yes Yes
Anonymization via Random Value Replacement Yes Yes
Works with Philter Studio Yes - includes 5 licenses Yes - includes 25 licenses
Works with Filter Profile Registry Yes Yes
Interoperability with Big-Data Applications Yes Yes
Docker Containers Yes
SupportStandard Email SupportPriority Email Support
AvailabilityAWS Marketplace
Azure Marketplace
GCP Marketplace
Download Binaries
Docker Containers
CostStarts at $0.79 / hour
Billed through your cloud platform
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Example Solutions

The blog posts and articles linked below provide example solutions using Philter to find and remove PII and PHI.


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