Discovery, remediation, and proof across databases, files, and the AI tools your team uses every day.
Connect Postgres, MySQL, Snowflake, S3, and SharePoint. VestraCore samples schemas, scores fields by name, value, and context, and returns field-level findings with confidence scores and row counts.
Generate statistically faithful datasets for engineering, QA, and ML pipelines. Referential integrity is preserved. Distribution and correlation are matched. Exports go directly to staging DBs or object storage.
Watch repositories for new documents and datasets. When a match is found, a governed clean copy is produced ahead of time so partner handoffs and AI tooling never receive raw PII.
Intercept prompts and file uploads before they reach ChatGPT, Claude, or Copilot. Policy can warn, block, or transform without treating every employee as a privacy expert.
The right starting point is usually not everything — it is one representative source, one meaningful use case, and a clear answer on whether the deployment model fits.