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The Sentinel Advantage for 

Data Masking

Fast and flexible masking of large amounts of personal and sensitive data for User Acceptance Testing (UAT)

What is Data Masking?

Data masking (also known as data scrambling or obfuscation) is the process of replacing personal and sensitive data with realistic "dummy" data. The masked data preserves the original structure, format, and relationships, so it behaves like real data, while ensuring individuals cannot be identified. 

Infographic showing Sentinel data masking

Why Does it Matter?

Sentinel’s data masking solution enables organisations to safely use data in testing and development environments without exposing personal information. It reduces security and compliance risk, supports GDPR and data protection requirements, and allows realistic User Acceptance Testing (UAT) across multiple systems, without compromising privacy.

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Protects personal data and supports GDPR compliance

 

Enables safe testing across multiple systems

 

Preserves realistic data structures (names look like names, dates look like dates)

 

Keeps data fully usable for testing without putting real individuals at risk

Prevents 'leakage' from test systems by removing real contact details that might otherwise be used to send test emails / SMS messages to real people

Benefits

The Sentinel Advantage to Masking

1

Analyse Your Data Needs

 We help you to understand which fields should be masked, and which masking rule is appropriate for each field.

2

Apply Consistent Masking

Our masking engine transforms sensitive information in the same way across all your systems, keeping relationships, workflows, and processes intact.

3

Secure Use of Real Data (Where Needed)

If parts of your project require real information, we support you with secure environments and strict controls.

Key Features

GDPR-compliant data masking for all non-production systems

Consistent masking logic applied across multiple databases

Fast processing for repeated data refreshes

Safe default values for sensitive fields (email, phone, etc.)

Preserved structure: dates stay dates, names stay names

Works with any systems, databases, or UAT landscape

Full quality checks and controlled data handling

Built using “data protection by design” principles

Trusted by public sector organisations such as Local Government

Available in 50+ languages

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