Default NER data patterns

Release version: Australia

Updated June 11, 2026

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Summary of Default NER data patterns

Named Entity Recognition (NER) based discovery enables ServiceNow customers to identify sensitive data that does not conform to fixed patterns by leveraging AI-driven model data patterns. This capability supports detecting various sensitive entities such as names, organizations, nationalities, political affiliations, and more.

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NER data patterns utilize the Model type and require a signed $0 SKU agreement and the latest GenAI Controller (sn.generative.ai) installed with admin privileges. This feature enhances data privacy efforts by integrating with Data Discovery and Anonymization policies.

Key Features

Data Discovery: Use NER data patterns in Data Discovery jobs to locate sensitive data across your instance.
Data Anonymization: Run anonymization jobs on classified data containing NER patterns by selecting the Data Pattern Anonymization technique and activating relevant data patterns.
Real-Time Anonymization: Enable real-time masking of entries with NER data patterns by adding them to Active Data Patterns.
Masking in Now Assist: Configure Data Privacy for Now Assist to mask detected NER data patterns effectively.

Practical Application of NER Data Patterns

NER data patterns identify sensitive information in various categories, which are crucial for compliance and privacy management. Common categories include:

Address: Street names, unit numbers (excluding city, state, country, zip code)
City: Names of cities or towns worldwide
Country: Sovereign nations or territories
Date & Time: Absolute or relative dates and times under a day
Job Position: Specific roles or responsibilities within an organization
Location: Politically or geographically defined locations such as mountains or regions
Nationality, Religious, or Political Groups (NRP): Identification of personal affiliations
Organization: Company or organizational names
Person: Full personal names including first, middle, and last names
Salary: Numeric representations of earnings often with currency symbols
State: States, provinces, or regions worldwide

What to Expect

With NER data patterns enabled, ServiceNow customers can expect enhanced discovery and protection of sensitive data beyond fixed pattern matching. This leads to better compliance with data privacy regulations and improved data governance. The integration with discovery, anonymization, and real-time masking workflows empowers organizations to manage sensitive information comprehensively and securely.

Use Named Entity Recognition (NER) based discovery to help discover sensitive data that does not follow fixed patterns.

Several Data Privacy capabilities support using Named Entity Recognition (NER) model data patterns to discover data such as names, organizations, nationalities, and political affiliations. Data patterns with the type Model use this feature (see Configure Data Discovery patterns for more details).

Warning:

This feature requires an additional $0 SKU to be signed by the customer in order to be enabled. Also, customers must have the latest version of the GenAI Controller sn.generative.ai installed on their instance (which requires the admin role).

NER data patterns can be used for:

Running Data Discovery jobs using Data Discovery policies.
Running Anonymization jobs using Data Anonymization Policies.
Note:
To anonymize any NER data pattern within text in a classified column, you need to select the Data Pattern Anonymization technique when creating the anonymization policy. Then, ensure that each NER data pattern is added to Active Data Patterns.
Real time anonymization of entries containing NER data patterns.
Note:
This capability requires adding the NER data pattern to Active Data Patterns.
Masking NER data patterns when configuring Data Privacy for Now Assist.


Name	Description	Named Entity Recognition	Keywords	Examples
Address	A full or partial location identifier, including street names, unit / plot numbers, but excludes city, state, country and zip code.	ADDRESS		Matching 135 Roslea Rd Hayward [135, Roslea Rd] Non matching New York, NY Apt. 11
City	The name of a city or town from regions and countries around the world.	CITY		Matching Hayward Cleburne Non matching Switzerland 87591
Country	The name of a sovereign nation or territory.	COUNTRY		Matching USA India Non matching U-S-A U.S.A.
Date & Time	Absolute or relative dates or periods or times smaller than a day.	DATE_TIME		Matching 22-07-1992 22/07/1992 07/22/1992 07-22-1992 07 12 1992 Non matching 55 II IOO5
Job position	A specific role or set of responsibilities within an organization, designated to be filled by an employee.	JOB_POSITION		Matching senior software engineer Director CSR Lecturer Non matching sr software engineer
Location	Name of politically or geographically defined location (cities, provinces, countries, international regions, bodies of water, mountains	LOCATION		Matching Himalayas Great Lakes Mount Rainier Non matching Bay Of Bengal The south
Nationality, religious or political groups (NRPs)	A person's nationality, religious or political group.	NRP		Matching American Indian Indo-american Non matching Bald Handsome
Organization	Name of organization.	ORGANIZATION		Matching Abraham & Lincoln co. Non matching Now india co
Person	A full person name, which can include first names, middle names or initials, and last names.	PERSON	Fred Luddy, Abel Tuter, Abraham Lincoln	Matching Fred Luddy Abel Tuter Abraham Lincoln Non matching Fred Toyota
Salary	A numeric value representing an individual's earnings, often accompanied by currency symbols.	SALARY		Matching my salary is $500, my salary is ₹500, my pay is 1.234,56 € Non matching 40/hour
State	States, Provinces, Prefectures and regions around the world.	STATE		Matching CA IN Non matching Australia Pacific Northwest