Menu
Sign In Search Podcasts Charts People & Topics Add Podcast API Pricing
Podcast Image

Epicenter - Learn about Crypto, Blockchain, Ethereum, Bitcoin and Distributed Technologies

Solving The AI Black Box: ZK-Proofs in Defence Tech

26 Dec 2025

Description

In this episode, host Sebastian Couture is joined by Ismael Hishon-Rezaizadeh, CEO of Lagrange, to explore the intersection of frontier cryptography and national security. Ismael discusses the transition of zero-knowledge (ZK) technology from a "token-centric" crypto tool to a vital component of defense, specifically focusing on its role in securing autonomous drone swarms and closing the hypersonic missile gap.They delve into Deep Proof, Lagrange's ZK-machine learning library, which facilitates verifiable AI execution while protecting sensitive model intellectual property and private input data. Ismael introduces the concept of "Accountable Autonomy," arguing that cryptographic proofs are necessary to ensure that lethal "kill chain" decisions are made by the correct models under verified inputs, removing the risks inherent in "black box" AI decision-making. Finally, the conversation touches on the geopolitical competition with China, the importance of domestic chip manufacturing, and why the US market's ability to align private sector innovation with military needs is a decisive strategic advantage.Topics00:00 Intro & Context04:15 ZKML vs. Venice09:30 Protecting Model IP15:00 Dual-Use Defense Pivot21:45 The Palantir Comparison27:10 US-China Chip Race35:20 Drone Swarm Consensus42:15 Accountable Autonomy Explained49:00 Kill Chain Verifiability55:30 EU vs. US DefenseLinksIsmael on X: https://x.com/Ismael_H_R Lagrange Labs: https://www.lagrange.dev/Anduril Industries: https://www.anduril.com/Gnosis: https://gnosis.io/Sponsors: Gnosis: Gnosis has been building core decentralized infrastructure for the Ethereum ecosystem since 2015. With the launch of Gnosis Pay last year, we introduced the world's first Decentralized Payment Network. Start leveraging its power today at http://gnosis.io

Audio
Featured in this Episode

No persons identified in this episode.

Transcription

This episode hasn't been transcribed yet

Help us prioritize this episode for transcription by upvoting it.

0 upvotes
🗳️ Sign in to Upvote

Popular episodes get transcribed faster

Comments

There are no comments yet.

Please log in to write the first comment.