Philter Quick Start on Microsoft Azure

Philter on Microsoft Azure is a virtual machine-based product. A free trial period is available during which there is no charge for the Philter software but there may be charges for the underlying Azure infrastructure.

Launch Philter on Microsoft Azure

Go to Philter in the Azure Marketplace.
Click the Get It Now button.
Review the information that is shown on the popup and click Continue when ready.
You will now be asked to log in to your Microsoft Azure account if you were not already logged in.
Click the Create button to begin making a Philter virtual machine.
Enter the required details of the virtual machine and click the Review + create button.
Review the virtual machine details and click Create when ready!

Your Philter virtual machine will now be launching.

Congratulations! You have deployed Philter in Azure. You are now ready to filter text!

Try it out!

With Philter now running we can take it for a spin. We will send some text to Philter and inspect at the response we get back. The Philter virtual machine running in your cloud account should have a public IP address (unless you customized the deployment). We will use that public IP address to interact with Philter.

Philter, by default, will be configured with an HTTPS listener on port 8080 using a self-signed certificate. It is recommended that prior to use in a production environment the self-signed certificate is replaced by a valid certificate owned by your organization.

In the command below, replace <PUBLIC_IP> with the virtual machine’s public IP address or public host name.

curl -k -X POST https://<PUBLIC_IP>:8080/api/filter --data "George Washington was a patient and his SSN is 123-45-6789." -H "Content-type: text/plain"

With this command we are sending the text in the command to Philter for filtering. Philter will identify the patient name (George Washington) and the SSN (123-45-6789) and redact those values in the response. You can always use curl to send text to Philter as in these examples but there are also SDKs you can use, too, to integrate Philter with your applications.

Redacting Sensitive Information from Text

The types of sensitive information that Philter identifies and removes is controlled by policies. By default, Philter includes a filter profile that includes many of the types of sensitive information, such as names and social security numbers. We can send text to filter to Philter for filtering using this default filter profile with the following command:

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

This command sends the contents of the file file.txt to Philter. Philter will apply the enabled filters and return a plain-text response consisting of the filtered text. (Replace localhost with the IP address or host name of Philter if you are not running the command where Philter is running.) You can also send text directly in the request instead of sending it as a file:

curl -k -X POST https://localhost:8080/api/filter --data "Your text goes here..." -H "Content-type: text/plain"

Next Steps

Now that you have Philter running and know how to send text to it you are ready to integrate Philter into your existing workflow and systems. Philter’s API details how to send files to Philter. Clients for some languages for Philter’s API are available on GitHub.

Example Uses

Here's a few examples showing how to use Philter with some common big-data and streaming applications.

Description	Technologies
Remove sensitive information from text in an Apache NiFi dataflow	Apache NiFi
Remove sensitive information from text using AWS Lambda in an Amazon Kinesis Firehose pipeline	Amazon Kinesis, AWS Lambda
Removing PII/PHI from OpenAI ChatGPT API Requests	ChatGPT
Redacting PHI and PII in Apache Kafka Data streams	Apache Kafka

Last modified: 08 November 2023