GEODI masks and anonymizes sensitive values in structured and unstructured data, so teams can share, test and analyze information without exposing the people behind it.
Sensitive values are obscured wherever they live, in documents, records and exports, structured or unstructured.
What a user sees depends on their role, full values for the few who need them, masked output for everyone else.
Produce anonymized copies for vendors, analytics and development, removing identifiability rather than just hiding it.
Generate realistic synthetic datasets that preserve structure and statistics for testing without containing real personal data.
Apply masking through low-code configuration or the API, so protection integrates into existing pipelines.
Masking and anonymization support obligations under PIPEDA, Law 25, GDPR and similar regimes when sharing or processing personal data.
Discovery pinpoints exactly which fields, passages and files contain sensitive values.
Mask for internal use, anonymize for sharing or synthesize for testing, per policy and audience.
Protected output flows to the people and systems that need it, while originals stay controlled.
Book a walkthrough and watch this capability run on representative data from your environment.