Mingshen Sun
Safeguarding Sensitive Data Access At Scale with Privacy-Enhancing Technologies
#1about 1 minute
The challenge of data security in microservice architectures
Microservice architectures offer scalability but create data protection challenges as sensitive data flows freely between many services.
#2about 5 minutes
Understanding confidential computing and trusted execution environments
Confidential computing uses hardware-based trusted execution environments (TEEs) to isolate data and code during processing, providing verifiable proof through remote attestation.
#3about 4 minutes
Key challenges of applying PETs at scale
Implementing privacy-enhancing technologies at scale is difficult due to microservice flexibility, the need for fine-grained purpose limitation, and providing verifiable transparency.
#4about 5 minutes
A solution combining serverless and confidential computing
A proposed architecture uses serverless computing to isolate sensitive data logic within a trusted execution environment, combined with pseudonymization for end-to-end protection.
#5about 4 minutes
Enabling third-party verification with remote attestation
Remote attestation allows third parties to verify workloads, enabling trusted management of key services like KMS and attestation services for hardware-backed access control.
#6about 2 minutes
Summary of the data protection architecture
The solution combines serverless computing, end-to-end data protection, and third-party verification to secure sensitive data in microservices while preserving flexibility.
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