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.



Philter® FAQ

Frequently asked questions about Philter. For questions not addressed in this FAQ please contact us.

What is Philter?

Philter is an application that identifies and manipulates sensitive information, such as Personally Identifiable Information (PII) and Protected Health Information (PHI), in natural language text. Philter runs in your private cloud so your sensitive data never has to traverse the public internet.

Philter is not an enterprise data management solution.

Philter sounds great. How do I deploy it?

Philter Standard Edition can be deployed in your cloud with just a few clicks. Click here to get started.

If you want to use Philter on premises, please contact us to get started with Philter Enterprise Edition.

How does Philter know what kinds of sensitive information to find?

Philter uses what we call filter profiles. A filter profile is a file that you give to Philter to tell it the types of sensitive information you want to identify. A filter profile lists the types of sensitive information (phone numbers, names, etc.), when to remove them, and how to remove them. Filter profiles are detailed in Philter’s User’s Guide. You can have as many filter profiles as you need to and you can select which one to use dynamically when submitting text to Philter.

How do I send text to Philter to be filtered?

There are a few ways.

Using the API directly

Philter’s HTTP-based API accepts text to process and returns the processed text. Philter’s API allows it to be integrated into many types of systems and processes. See the API in Philter’s User Guide for more information, but here’s an example to send a text file to Philter for processing:

curl -k -X POST "https://localhost:8080/api/filter?c=context" -d @file.txt -H Content-Type "text/plain"

Using the Philter CLI

You can also use the Philter CLI. This small application provides convenient access to Philter’s API.

Using open source SDKs

There are also open source Philter SDKs for Java, .NET, and Go.

Is Philter guaranteed to find 100% of all sensitive information in my text?

Philter uses state of the art natural language processing (NLP) technology to identify sensitive information in text. These NLP methods use trained models created from a large corpus of text. The process of applying the model to text is non-deterministic. There are many factors that could affect the identification of sensitive information in your text such as how similar your text is to the corpus that was used to train the model, how the text is formatted, and the length of the text. For these reasons, it is important that you assess Philter’s performance prior to utilization in a production system.

The confidence value in the filter strategy condition can be used to tune the NLP engine’s detection. Each identified entity has an associated confidence score between 0 and 100 indicating the model’s estimate that the text is actually an entity, with 0 being the lowest confidence and 100 being the highest confidence. The confidence value in the filter strategy allows you to filter out entities based on the confidence. For example, the condition confidence > 75 means that entities having less than a 75 confidence value will be ignored and entities having a confidence value greater than 75 will be filtered from the text.

What platforms are supported by Philter?

Philter supports several platforms and which platform is used may be determined by your choice of cloud provider.

  • AWS Marketplace – Amazon Linux
  • Microsoft Azure Marketplace – CentOS
  • Google Cloud Marketplace – CentOS
  • On-premises – RHEL and CentOS

See the Philter Availability for a full listing.