Data privacy compliance for software and AI development
Generate high-quality de-identified data that ensures privacy and utility for software testing and model training to achieve regulatory compliance across your organization without slowing down innovation.
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Achieve compliance and enable your developers
Privacy guarantees
Detect and de-identify PII throughout structured and unstructured data, applying regulatory-specific data transformations to ensure compliance and eliminate risk in development workflows.
Global enablement
Generate realistic data that is safe to share across borders to maximize off-shore resources while meeting the de-identification requirements of international regulations.
Accelerated development
Streamline data governance to eliminate costly bottlenecks, and optimize data readiness to enable shift-left testing and AI innovation.
Realistic data masking that preserves privacy and utility
Apply granular data de-identification techniques that securely remove PII from your structured and unstructured data without damaging the data’s utility for software testing or model training.
Multilingual Named Entity Recognition (NER) models
Automatically identify dozens of sensitive entity types in free-text data across your data stores with proprietary, best-in-class multilingual machine learning models for NER.
Compliant data de-identification for global regulations
Leverage targeted data generators and Expert Determination to achieve compliance with global data privacy regulations, including GDPR, CCPA, PCI, and HIPAA.
Built-in data governance tools for visibility and security
Standardize rules for data generation to enforce security policies, and access privacy reports and audit trails with customizable RBAC to monitor and validate adherence to privacy compliance throughout your data pipelines.
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Make your sensitive data usable for software and AI development.
