PETs - A Technical Solution To Digital Sovereignty?
Talkat Open Source Summit Japan + AI_dev: Open Source GenAI & ML Summit + Automotive Linux Summit 2025 · 2025-12-08..12-10·
summary
Explains concrete PETs: confidential computing uses CPU/GPU TEEs and remote attestation to keep data encrypted in RAM with near‑native performance but requires trust in chip vendors, microcode and attestation services and remains vulnerable to side‑channel and physical chip tampering; homomorphic encryption offers strong math proofs but is extremely slow (up to millions× slower) and limited in operations; federated learning, SMPC and synthetic data each trade capability for leakage risk; notes industry work via Confidential Computing Consortium with 50–60 members and free 12‑month startup membership under 100 people.
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chapters (7)
- 0:00Digital sovereignty challenges
- 8:32Privacy-enhancing technologies
- 13:15Key PETs and capabilities
- 22:35Confidential Computing Consortium
- 27:50Q&A PETs and legal frameworks
- 33:53Q&A trust models in confidential computing
- 37:07Closing remarks
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