Secure Data Collaboration & Matching
Enriching and matching first-party data securely requires advanced cryptographic guardrails. Our privacy surface operates directly inside cloud-native clean rooms to solve this collaboration challenge.
Both parties publish their data tables or secure views containing cryptographically hashed customer keys. Matches are resolved securely inside the clean room environment, ensuring that individual consumer profiles are never shared or exposed to either party.
Explore the GraphWhy Clean Room Sharing?
Our clean room infrastructure enforces strict privacy constraints to protect your data assets at every stage of analysis:
- Strict Zero-Export Controls: Eliminate data leakage risks with a strict zero-export policy enforced directly on underlying source tables, ensuring raw data can never be downloaded or copied.
- Aggregate-Only Insights: Protect individual privacy by restricting analytical outputs to macro-level trends, utilizing configurable aggregate query rules to block row-level access.
- Privacy Threshold Enforcement: Prevent re-identification attacks and overly narrow queries through customizable record-threshold rules that automatically block micro-targeted results.
- Double-Blind Cryptographic Matching: Securely resolve overlapping customer keys across datasets using advanced cryptographic matching, without either party ever revealing their raw identifiers.
- Automated Compliance Auditing: Maintain an airtight security posture with fully audited, cloud-native execution environments that generate immutable automated access logs for every query.
Zero-Exposure Privacy Framework
Enforce strict data privacy compliance natively without sacrificing analytical depth.

