Presidio anonymizer

Description

The Presidio anonymizer is a Python based module for anonymizing detected PII text entities with desired values.

Deploy Presidio anonymizer to Azure

Use the following button to deploy presidio anonymizer to your Azure subscription.

TODO: change this link to main branch once merged (#2765).

Anonymizer

Presidio anonymizer comes by default with the following anonymizers:

• Replace - replaces the PII with desired value
  Parameters: "new_value" - replaces existing text with the given value.
  If "new_value" is not supplied or empty, default behavior will be: <entity_type> e.g: <PHONE_NUMBER>
• Redact - removes the PII completely from text Parameters: None
• Hash - hash the PII using either sha256, sha512 or md5. Parameters:
  • "hash_type" - sets the type of hashing. can be either sha256, sha512 or md5. The default hash type is sha256.
• FPE - using ff1 algorithm for formatting-Preserving Encryption on the PII
• Mask - replaces the PII with a given character.
  Parameters:
  • "chars_to_mask" - the amount of characters out of the PII that should be replaced.
  • "masking_char" - the character to be replaced with.
  • "from_end" - Whether to mask the PII from it's end.

Please notice: if default value is not stated in transformations object, the default anonymizer is "replace" for all entities. The replacing value will be the entity type e.g.: <PHONE_NUMBER>

As the input text could potentially have overlapping PII entities, there are different anonymization scenarios:

• No overlap (single PII) - single PII over text entity, uses a given or default transformation to anonymize and replace the PII text entity.
• Full overlap of PIIs - When one text have several PIIs, the PII with the higher score will be taken. Between PIIs with identical scores, the selection will be arbitrary.
• One PII is contained in another - anonymizer will use the PII with larger text.
• Partial intersection - both will be returned concatenated.

Example of how each scenario would work. Our text will be:

My name is Inigo Montoya. You Killed my Father. Prepare to die. BTW my number is: 03-232323.

• No overlaps - only Inigo was recognized as NAME: My name is Montoya. You Killed my Father. Prepare to die. BTW my number is: 03-232323.
• Full overlap - the number was recognized as PHONE_NUMBER with score of 0.7 and as SSN with score of 0.6, we will take the higher score: My name is Inigo Montoya. You Killed my Father. Prepare to die. BTW my number is: < PHONE_NUMBER>
• One PII is contained is another - Inigo was recognized as FIRST_NAME and Inigo Montoya was recognized as NAME, we will take the larger one: My name is . You Killed my Father. Prepare to die. BTW my number is: 03-232323.
• Partial intersection - the number 03-2323 is recognized as a PHONE_NUMBER but 232323 is recognized as SSN: My name is Inigo Montoya. You Killed my Father. Prepare to die. BTW my number is: < PHONE_NUMBER>.

Installation

As package:

To get started with Presidio-anonymizer, run the following:

pip install presidio-anonymizer

Getting started

As service:

In folder presidio/presidio-anonymizer run:

pipenv sync

Start the server with flask (this is a test server please do not use in prod):

pipenv run app.py

The request should be:

POST /anonymize

Payload:

{
    "text": "hello world, my name is Jane Doe. My number is: 034453334",
    "transformations": {
        "PHONE_NUMBER": {
            "type": "mask",
            "masking_char": "*",
            "chars_to_mask": 4,
            "from_end": true
        }
    },
    "analyzer_results": [
        {
            "start": 24,
            "end": 32,
            "score": 0.8,
            "entity_type": "NAME"
        },
        {
            "start": 24,
            "end": 28,
            "score": 0.8,
            "entity_type": "FIRST_NAME"
        },
        {
            "start": 29,
            "end": 32,
            "score": 0.6,
            "entity_type": "LAST_NAME"
        },
        {
            "start": 48,
            "end": 57,
            "score": 0.95,
            "entity_type": "PHONE_NUMBER"
        }
    ]
}

Result:

200 OK
hello world, my name is <NAME>. My number is: 03445****

HTTP API

/anonymizers

Returns a list of supported anonymizers.

Method: GET

No paramaters are required.

Response sample:

["fpe", "hash", "mask", "redact", "replace"]