Privacy Policy
Privacy Protocol
Effective: Last updated:
Data Lifecycle Architecture
Our differential privacy pipeline ensures 97.3% anonymization before storage
Behavioral Data
Interaction patterns with AI interfaces
Retention: Anonymized after 6 monthsPerformance Metrics
Model improvement tracking data
Retention: Indefinitely for research
Laplace noise injection (ε=0.7) applied to all training inputs before model ingestion...
On-device model personalization with secure aggregation protocols...
HElib implementation for encrypted model outputs...
Automated data purging system with cryptographic deletion verification...
GDPR
EU
CCPA
California
PIPEDA
Canada
Data Redaction Portal
Initiate GDPR Article 17 erasure requests through our zero-knowledge verification system