Differential Privacy
A mathematical framework for sharing information about a dataset while limiting what can be learned about any individual in the dataset.
Definition
A mathematical framework for sharing information about a dataset while limiting what can be learned about any individual in the dataset.
Why It Matters for AI Governance
Differential privacy can be applied to AI analytics and model training to protect individual privacy while maintaining aggregate utility. It provides formal privacy guarantees that complement PII redaction.
How CrewCheck Handles This
CrewCheck's LLM gateway applies differential privacy-related controls at the request boundary. Every AI call passes through detection, policy evaluation, and audit logging — ensuring that differential privacy is addressed consistently across all teams and providers.
The governance dashboard provides real-time visibility into differential privacy events, with drill-down capabilities for compliance officers and exportable evidence for auditors.