Protect sensitive data in non-production environments without sacrificing realism. Create smaller, compliant datasets that keep data relationships intact - so your teams can test, develop, and train AI/ML models safely.
The recordings below are the product itself — no mock-ups, no staged screens.
Define reusable subset and obfuscation plans using AI-assisted recommendations that automatically identify sensitive data and apply appropriate masking strategies. Configure once and execute at scale to generate secure, production-like datasets for development, testing, and analytics—without compromising data relationships or compliance.
Explore key featuresDefine reusable subset and obfuscation plans using AI-assisted recommendations that automatically identify sensitive data and apply appropriate masking strategies. Configure once and execute at scale to generate secure, production-like datasets for development, testing, and analytics—without compromising data relationships or compliance.
Explore key featuresDefine reusable Subset and Obfuscation plans that configure how data should be filtered and masked before execution -set it once, reuse it across environments.
Execute subsetting and obfuscation jobs with high-performance, scalable processing designed for large enterprise datasets. Automate workflows to reduce manual effort and accelerate delivery cycles.
Generate realistic non-production datasets while protecting sensitive information and preserving referential integrity. Ensure compliance with regulations such as GDPR, HIPAA, and PCI.
Everything you need to mask, subset, and secure production data for safe use across development, testing, and analytics environments.
Automatically analyse table structures, column metadata, and data types to generate recommended obfuscation rules for each field. Eliminates manual configuration, accelerates plan setup, and ensures compliance-ready consistency across environments.
Create smaller, relevant datasets using logical filters while preserving foreign-key relationships across tables - ideal for non-production environments where data size and integrity both matter.
Apply Replace, Randomize, Mask, Hash, Encrypt, and Recode methods tailored to sensitivity and business needs, ensuring strong protection for diverse data types.
Define masking rules at the column level and apply conditional logic based on data content or business rules - for example, encrypting Social Security Numbers and bank account details for customers in regulated US states, or applying stricter masking to high-value commercial accounts versus standard residential accounts.
Execute obfuscation and subsetting across multiple tables simultaneously, with multi-threaded performance built to handle billions of rows at enterprise scale.
Save and reuse masking and subsetting rules across multiple environments or projects, enabling faster rollout, consistency, and easy standardization.
Connect to Oracle, SQL Server, and PostgreSQL without additional configuration. Track job progress, review execution logs, and monitor obfuscation runs in real time - all from an intuitive interface.
The Data Obfuscation platform has transformed how we create secure non-production environments. It quickly produces realistic datasets, applies consistent masking, maintains data integrity, and significantly reduces the manual effort involved in preparing test environments.
Built on our own Oracle delivery programmes — the screens, the batch jobs and the documents that generic tools never account for.
Provision non-production environments rapidly with realistic, compliant data - so testing and development never wait on manual data preparation
Safely reproduce production issues in lower environments using realistic masked data - without exposing sensitive information
Enforce consistent data protection across all environments with repeatable masking rules, execution logs, and centralized monitoring
Join the leading enterprises that trust our platform to drive innovation, efficiency, and growth at scale.