How Java Supports GDPR and Data Privacy
1 ) Handling Personally Identifiable Information (PII) in Temporal Workflows
Temporal workflows should avoid storing PII data directly within workflow histories. Instead, developers should use references or pointers to PII maintained securely elsewhere.
This approach helps minimize the exposure of sensitive personal data within workflow event histories, aiding GDPR compliance.
2 ) Use of Data Encryption via DataConverter API
Developers can leverage Temporal's DataConverter API to automatically encrypt and decrypt data exchanged between workers and the Temporal server.
Encryption ensures that even the Temporal server processes only encrypted data, enhancing data privacy and security.
3 ) Managing Data Retention and Archival
Limit the length of workflow archival to facilitate compliance with data deletion requests under GDPR.
Although current capabilities for selective deletion of archived workflow records are limited, future improvements aim to allow surgical removal of data to improve compliance.
4 ) Workflow Design Considerations for Data Privacy
Some applications use long running or infinite workflows to represent users, which complicates deletion of user data upon request.
To comply, workflows associated with a user must be cancellable or terminable to ensure proper data removal.
5 ) Server Side Security Measures
Temporal server communication is secured via mutual TLS (mTLS), ensuring encrypted and authenticated connections between services.
The encryption and secure communications help protect personal data during transmission and processing.
6 ) Preference and Control Over Data Storage
Temporal provides pluggable data converters, giving full control to developers over what data is stored in the workflow history.
Developers can choose to encrypt data, store only pointers, or exclude PII altogether based on compliance requirements.
In summary, Java applications using Temporal can support GDPR compliance and data privacy by avoiding direct storage of PII within workflows, employing encryption mechanisms, limiting data retention, designing workflows mindful of deletion needs, and ensuring secure server communications. These practices collectively strengthen personal data protection in line with GDPR mandates.
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