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World Congress 2026 Europe • Jul 9, 2026 • Session details

Building Trust Through Private and Verifiable AI

Mingshen Sun

Can you run cloud LLMs on sensitive data without exposing user prompts? Project PVC achieves this using Trusted Execution Environments. Learn to deploy verifiable, zero-trust AI infrastructure.

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#1 about 3 min

Challenges of protecting sensitive data in cloud AI

Processing sensitive health and personal data in cloud environments introduces major user privacy concerns.

#2 about 3 min

Identifying security vulnerabilities in cloud AI workflows

Traditional remote server processing exposes sensitive user prompts and context to unauthorized administrators or model owners.

#3 about 3 min

Utilizing trusted execution environments for data protection

Hardware-based isolation and memory encryption shield data in use from infrastructure providers during processor execution.

#4 about 3 min

Establishing robust security guarantees in AI processing

Implementing cryptographic measurement and hardened operating systems prevents privileged access while ensuring complete traffic anonymity.

#5 about 3 min

Securing contextual storage and proving verifiable transparency

User-controlled encryption keys secure stored documents while hardware vendor attestation enables independent software assurance verification.

#6 about 3 min

Architectural deployment and open source project benefits

Architecting oblivious routing and reproducible builds unlocks new business innovations by mitigating default cloud AI risks.

#7 about 2 min

Deploying private verifiable compute environments locally and remotely

Comprehensive documentation and local clustering tools allow immediate testing of confidential computing setups without specialized infrastructure.

#8 about 5 min

Demonstrating remote attestation in confidential AI chatbots

Inspecting network traffic reveals specific CPU and GPU measurements verifying the integrity of the remote execution environment.

Matching moments

4:08 min

Securing data in use with confidential cloud computing

Isha Salania Isha Salania · World Congress 2026 Europe

2:44 min

Advancing confidential computing with open source multi-way collaboration

Mingshen Sun Mingshen Sun · World Congress 2024

1:46 min

Hardware security features necessary for compliance and responsible AI

Stephan Gillich Stephan Gillich · World Congress 2024

17:05 min

Navigating data privacy boundaries and adversarial model reliability

Alexandra Waldherr · LIVE

49 sec

Hardware-based trusted execution environments for confidential computing

Rob Nertney Rob Nertney · World Congress 2026 Europe

40 sec

Evaluating safety and data privacy in new software tools

Yewande Oyebo Yewande Oyebo · Europe 2026 Virtual

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