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Philter 1.6.0 is available soon through the cloud marketplaces with many new features! This version adds alerts, new filters, and a new replacement strategy.

Philter finds, identifies, and removes sensitive information from text. In this post we will detail an actual, real-world use-case of Philter.

Finding sensitive information and content in text has been a problem for as long as text has existed.

Philter 1.5.0 adds support for a new Section filter, support for storing filter profiles on Amazon S3, consolidated caches, and a customizable model file.

An AWS CloudFormation template to deploy an auto-scaled, highly-available Philter environment to identify and remove sensitive information from text.

Philter Studio is an application for Windows that provides convenient access to removing sensitive information from files and documents using Philter.

Today we are announcing Philter support for for identifying and redacting personally identifiable information (PII) and PHI in text related to COVID-19.

This blog post demonstrates how to use Philter with Microsoft Power Automate to redact sensitive information from text.

Awhile back we made a post describing how Philter can be used alongside Apache NiFi for identifying and removing sensitive information from text.

This version of Philter adds support for MAC addresses and tax-payer identification numbers (TINs). Also new is the ability to encrypt sensitive information.

This version includes various tweaks to improve performance. This version lowers the required time to process text while improving the accuracy of identified information.

In this blog post we will show how AWS Kinesis Firehose and AWS Lambda can be used to remove PII and PHI from the data as it travels through the firehose.

How we implement continuous delivery across multiple cloud platforms.

Mountain Fog, Inc. Announces Release of Philter Software to Find and Remove PII and PHI. Philter finds and removes sensitive information such as PII and PHI from text.

Philter offers integration capabilities with Apache NiFi, Apache Kafka, and Apache Pulsar to provide PHI/PII filtering capabilities across your big-data and ETL ecosystems.

Filter Profiles give you complete control over how Philter identifies, redacts, masks, and encrypts sensitive information such as PII and PHI in text.

The advent of DevOps cultures has helped make knowledge of HIPAA and PHI a team requirement. All team members need to understand what is PHI and the implications of having PHI in a system.