
Data Security Platform for every environment
Reduce risk and accelerate delivery with automation and transformations that preserve referential integrity, provide full traceability, and offer audit-ready evidence.
They trust us

Reduce security incidents by up to 50%
Backed by centralized policies that minimize leaks and handling errors in sensitive data workflows
Access data 2× faster
From request to ready—secure, production-safe datasets delivered just-in-time for deployments, testing, and migrations
Operational efficiency
Fewer redundant copies and lower IT overhead, so teams focus on strategic projects instead of manual provisioning
Key capabilities
Our platform orchestrates the detection, transformation, and provisioning of governed datasets, enabling scalable cloud innovation and AI model training without regulatory friction.
01
AI-driven sensitive data discovery
Connect your databases and analyze the schema. Automatically detect personal information (PII), assess risk levels, and generate auditable reports.
02
Centralized rule definition
Policy-driven configuration for anonymization, masking, and synthetic data generation. It enables granular transformations tailored to target systems and current regulatory frameworks.
03
Generate versioned datasets with referential integrity
Obtain realistic, consistent, and secure data—ready for use without relying on production copies while maintaining cross-table consistency.
04
CI/CD integration & automated delivery
Embed data transformation into pipelines to enable continuous delivery of versioned datasets across environments.
Use cases
On-demand data for DevOps
Agile provisioning of secure datasets in non-production environments, accelerating releases and giving teams autonomy.
Simplified privacy and audit
Automate masking and anonymization policies to generate auditable data with full traceability, aligned with GDPR, NIS2, HIPAA, ISO 27001, and CCPA.
Validation and releases with consistent data
Referentially intact datasets that reduce migration and release risk, ensuring stable, trustworthy hybrid environments.
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ENS Compliance: Data Anonymization Guide
