Person's Names (NER)

Filter

This filter identifies person's names based on natural language processing (NLP) and named-entity recognition (NER) in text.

Required Parameters

This filter has no required parameters.

Optional Parameters

Parameter	Description	Default Value
removePunctuation	When set to true, punctuation will be removed prior to analysis.	false
firstNameFilterStrategies	A list of filter strategies.	None
enabled	When set to false, the filter will be disabled and not applied	true
ignored	A list of terms to be ignored by the filter.	None

Filter Strategies

The filter may have zero or more filter strategies. When no filter strategy is given the default strategy of REDACT is used. When multiple filter strategies are given the filter strategies will be applied in as they are listed. See Filter Strategies for details.

Strategy	Description
REDACT	Replace the sensitive text with a placeholder.
RANDOM_REPLACE	Replace the sensitive text with a similar, random value.
STATIC_REPLACE	Replace the sensitive text with a given value.
CRYPTO_REPLACE	Replace the sensitive text with its encrypted value.
HASH_SHA256_REPLACE	Replace the sensitive text with its SHA256 hash value.
ABBREVIATE	Replace the sensitive text with the initials of the text.

Conditions

Each filter strategy may have one condition. See Conditions for details.

Conditional	Description	Operators
TOKEN	Compares the value of the sensitive text.	== , !=
CONTEXT	Compares the filtering context.	== , !=
CONFIDENCE	Compares the confidence in the sensitive text against a threshold value.	< , <=, > , >=, ==, !=

Example Policy

{
   "name": "ner-example",
   "identifiers": {
      "ner": {
         "nerFilterStrategies": [
            {
               "strategy": "REDACT",
               "redactionFormat": "{{{REDACTED-%t}}}"
            }
         ]
      }
   }
}