SuccinctLabs executive: Zero-knowledge proof can provide AI with independently verifiable and untamperable "behavioral evidence"

On July 20, according to CoinDesk, SuccinctLabs executive Brian Trunzo wrote that the traditional detection idea of relying on AI to "identify AI" has failed. After autonomous AIAgents began to participate in large-scale browsing, transactions, content publishing and interaction with humans, the Internet is facing a systemic "crisis of trust". He pointed out that zero-knowledge proof (ZK) can provide AI with independently verifiable and untamperable "behavioral credentials", proving models, training data, reasoning processes and authority boundaries without exposing underlying data, and distinguishing between humans and Agents. identity. The article calls for the United States to legislate in high-risk AI scenarios (such as financial transactions and interactions with minors) to require agents to carry verifiable cryptographic certificates, shifting the responsibility from "the content itself" to "the lack of verifiable certificates."