Clouded Judgement: Zero Knowledge Proofs and the Trust Infrastructure for Autonomous AI Agents

The article explores zero knowledge proofs (ZK proofs) as critical infrastructure for verifying AI agent integrity, model weights, and autonomous decision-making in enterprise systems without revealing proprietary details. It argues that recent computational breakthroughs in ZKML (zero knowledge machine learning) are making ZK proofs practical for real-time AI inference, enabling cryptographic verification of agent actions, model integrity, and input data authenticity. The article concludes that ZK proofs will become a foundational trust layer for the agentic era, similar to SSL/TLS for the internet or IAM for cloud infrastructure.