Mental Models for Real-World Cryptography and Trusted Execution Environments
Source: YouTube · a16z crypto · published May 9, 2026 · 1:02:11
Itai Abraham presents mental models for TEEs, explaining how they enable stronger consensus guarantees, defense-in-depth integrity, and accountable privacy for threshold cryptography 0:09.
Key Takeaways:
• Cryptography fundamentally requires physical trust—without hardware protecting secrets, public key cryptography is impossible 2:30
• TEEs provide attestation and isolation against software adversaries, but remain vulnerable to physical attacks 5:40
• Non-equivocation from TEEs enables 2f+1 consensus, but reboots require re-keying, making TEEs better suited for L2 than L1 13:00
• Major tech companies use TEE-based 2f+1 consensus ledgers for confidential inference 15:00
• Composing ZK proofs with TEE attestations provides defense-in-depth integrity, reducing security council dependency 16:30
• Accountable privacy through TEE-held MPC secrets could enable economically-accountable threshold cryptography 18:00
Abraham envisions TEEs becoming the default for cloud computing, with future directions including publicly verifiable hardware and robotic AI for physical security enforcement.
Sources:
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First 800 characters of the transcript
All right, welcome everyone to today's A16Z crypto research seminar. Very pleased to introduce Itai Abraham. It has been working in the intersection of distributed computing, cryptography, and game theory since way before it was cool, even maybe before blockchain protocols even existed, I would say. So he's obviously perfectly positioned to do lots of great research in the blockchain area which is what he done over the past decade plus and today he'll talk us about mental models for TEEES. >> Thank you Tim uh for inviting me and uh thank you everyone for coming for my talk. Uh very excited uh to spend time here and uh work with such a strong team of researchers, interns and and visitors. Uh in particular this is a great opportunity for me to actually work in person with Kartik and Ling som…