Find sensitive and regulated data across every connected source.
Label data automatically by sensitivity, policy and regulation.
Fix exposure with policy driven workflows and full audit trails.
See who can access what and remediate high risk permissions.
Share and process data safely with masking and synthetic output.
Search everything you own and ask questions in natural language.
The same engine solves different problems for different teams. These are the deployments Canadian organizations ask about most.
Find every record about a person in seconds across millions of documents, so subject access responses become a query instead of a project.
Walk into PIPEDA, Law 25 or sector audits with a live inventory, classification coverage and remediation history already documented.
Decades of accumulated shares hide duplicates, ROT and forgotten personal data. Discovery plus remediation reclaims storage and retires risk.
Content derived classification gives your DLP accurate labels to enforce, closing the gap between policy and reality.
Duplicate cleanup, masking and access remediation shrink what an attacker could reach before an incident, not after.
One semantic search across everything the organization knows, with spatial analysis for location aware questions.
Data residency through on-prem deployment, FIPPA and MFIPPA support, records inventories and fast access-to-information response. Discovery covers scanned archives that hold much of the public record.
Financial servicesLocate cardholder and client data for PCI DSS scope control, govern access to it and prove control effectiveness with continuous evidence. GEODI runs in production at banks and financial institutions internationally.
Personal health information hides in scans, referral letters and legacy exports. OCR backed discovery finds it, PHIPA aligned governance controls who can reach it.
Energy, manufacturing and legalCAD drawings, contracts and correspondence carry sensitive content that generic tools skip. GEODI classifies these formats too, including through the Explorer agent, and its spatial intelligence suits organizations with location bound assets.
Describe the problem and we will map it to a GEODI deployment, with a demo on representative data.