fullstory-privacy-strategy

To configure Fullstory for GDPR and HIPAA compliance, you implement privacy-by-design semantic decoration by masking PII, excluding sensitive data, and using joinable keys to balance analytics with regulatory requirements.

Data minimization in web analytics means sending only necessary data while protecting PII. For session replay tools, it involves masking, hashing, or replacing sensitive fields with pseudonymous joinable keys to preserve analytics value without exposing user data.

You use joinable keys and pseudonymization in mobile instrumentation by replacing direct PII with hashed identifiers, allowing you to track user sessions and correlate data without transmitting raw sensitive information to your analytics platform.

The best way to handle PCI compliance in product analytics is to exclude or mask payment card data at the instrumentation layer, replacing sensitive fields with hashed values or joinable keys to prevent unauthorized exposure of financial information.

Yes, this privacy strategy framework supports CCPA requirements by providing guidance on consent handling, data minimization, and privacy governance, enabling auditability across your web and mobile instrumentation deployments.

You should exclude data when fields contain highly regulated information that cannot be anonymized, and mask data when the structural context is needed for analytics but the actual values must be hidden to maintain privacy compliance.