How does Dynatrace support data privacy in RUM?

Dynatrace supports data privacy in Real User Monitoring (RUM) primarily through the practice of masking sensitive personal information. This process is critical in ensuring that any identifying details, such as names, email addresses, or any other private data, are obscured or altered in a way that protects user identity while still allowing for the collection of valuable performance and usage insights.

Masking sensitive personal information helps organizations comply with data protection regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). By implementing this measure, Dynatrace enables companies to analyze user behavior and application performance without compromising the privacy of individuals.

In contrast, approaches such as limiting user access to data and tracking IP address anonymization also contribute to data privacy but do not directly relate to how RUM handles and processes user data within the context of monitoring and analysis. Optimizing user session durations involves performance management rather than data privacy and does not address the protection of user information during RUM activities.