Four core capabilities share one detection engine, one policy layer, and one audit trail. Everything runs inside your environment.
Connect PostgreSQL, MySQL, Snowflake, S3, and SharePoint. VestraData samples schemas, scores fields by name, value, and context, and returns field-level findings with confidence scores and row counts.
Apply masking and anonymisation where the data lives. Remove personal data from staging, analytics, and dev environments without rebuilding pipelines — and take those systems out of audit scope.
Extract referentially intact subsets and generate statistically faithful synthetic datasets for engineering, QA, and ML pipelines. Distribution, correlation, and null rates match production.
Every finding, decision, and transformation across the platform writes to a hash-chained, immutable record — evidence generated as a by-product of doing the work.
Watch repositories — SharePoint, Drive, S3, SFTP drops — for new documents. When sensitive content is found, a governed clean copy is produced ahead of time.
Embed the detection and anonymisation engine directly into your own pipeline or product. REST API with an OpenAPI 3.1 spec, typed clients for Python, Node.js, Java, and .NET.
A browser extension that intercepts prompts and file uploads before they reach external AI tools, replacing sensitive values with consistent surrogates. Currently available to evaluation customers alongside the platform.
The technical review connects to one real source in your environment and runs this entire workflow live, in 45 minutes.