Data Privacy & Compliance

Data Protection for your Production environment

DataMask removes sensitive data from ServiceNow non-production environments through rule-based masking and purging.
Protect personally identifiable information, financial data, and intellectual property when cloning production instances for testing and development without manual scripting or coding..

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DataMask 

How does DataMask prevent leaks in non-production environments?

When organisations clone production ServiceNow instances to development or testing environments, sensitive data creates compliance risks. DataMask applies rule-based masking to de-sensitise personally identifiable information while purging unnecessary data volume.

  • Define masking rules 
  • Define purging rules 
  • Link rules to target fields 
Explore DataMask features 
Data Audit

How does Data Auditing identify sensitive information?

Data Audit detects sensitive data within ServiceNow instances across production and non-production environments using configurable rules. Plug-and-play pre-built rules identify credit card numbers, Tax File Numbers, personal identification numbers, phone numbers, email addresses, and contract monetary values.

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Use cases

What types of sensitive data does DataMask protect in ServiceNow environments?

The application enables configurable masking rules for credit card numbers, Tax File Numbers, phone numbers, email addresses, contract values, sensitive IP addresses, vendor details, and software licence keys. DataMask’s three-step configuration defines what to mask, what to purge, and links rules to target data fields.

Sensitive IP addresses

Personally identifiable data

Finance and Legal data

Vendor and Contract details

Software licence keys

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Ready to protect sensitive ServiceNow data?

Available from the ServiceNow Store alongside our Data Audit application, DataMask helps organisations maintain compliance in sub-production environments. The rule-based approach requires no coding or scripting, enabling administrators to implement data protection policies efficiently while supporting development, testing, and training requirements. 

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Rule-Based:

No coding required for data masking configuration

Comprehensive Coverage:

Protects PII, financial data, and confidential information

Compliance Support:

Maintains data protection standards in sub-production environments 

Frequently Asked Questions

DataMask & Data Audit FAQs

DataMask operates through a rule-based process requiring no coding or scripting. Administrators define masking and purging rules once, then link them to target data fields. When production instances are cloned to sub-production environments, DataMask automatically applies rules to de-sensitise data.

Yes, Data Auditing supports both standalone instances and cloned production instances in non-production environments. The application can be scheduled within scheduled jobs to execute at regular intervals, with reports distributed to administrators for appropriate follow-up actions.

Data Auditing includes plug-and-play pre-built rules for Australian Tax File Numbers (TFN), credit card numbers, personal identification numbers, phone numbers, email addresses, and contract monetary values. These rules enable rapid deployment without custom configuration for common compliance requirements.

DataMask reduces data volume through purging rules, which decreases storage requirements and improves instance performance in non-production environments. This addresses both compliance requirements and operational efficiency simultaneously through a single tool.

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