tldr - powered by Generative AI

• Global legislation landscapes on data protection and privacy preservation impact the industry and require careful processing, exchange, or storage of sensitive personal identifiable information
• Pseudonymization and anonymization are techniques used to address data protection laws, with anonymization being the preferred method as it removes private personal information completely from the original data form
• Real-time data anonymization can be achieved using a Cloud Native Serverless architecture that is lightweight, reliable, and scalable
• The architecture uses KEDA and Rook to extend Ceph and support AWS SQS compatible APIs, and the queue trigger mechanism does not require exposing external endpoints to Serverless functions, making it more secure
• The solution architecture uses Rook and KEDA, and the anonymization service function reads messages from the message queue and detects personal and sensitive information such as faces and license plates and blurs the region of interest using rectangular boxes
• Microshift is a lightweight implementation of OpenShifts and Kubernetes that is optimized for large computing use cases that have small factory devices with resource constraints or for environments that only serve single-purpose workloads