In the financial markets, millisecond differences often mean millions of dollars in gains or losses. Nowadays, more and more trading strategies rely on AI models to identify signals, but the problem is: if the model gives incorrect outputs or is even tampered with, the consequences can be irreversible.
The DeepProve system launched by Lagrange is designed to address this pain point. It can quickly generate zero-knowledge proofs while the trading model is running, verifying the authenticity of the model, data, and outputs. This way, trading desks no longer just 'blindly trust' AI signals but verify before executing. This means traders can receive truly auditable signal streams rather than black box operations.
More critically, DeepProve's performance advantages make it fast enough: compared to other zkML libraries, its proof generation efficiency can be up to 158 times higher, and its verification speed is 671 times faster. This allows DeepProve to operate in real-time trading scenarios rather than just performing post-event audits. For quantitative strategy teams, regulatory bodies, and large financial institutions, this is both a security guarantee and an efficiency advantage.
The introduction of verifiable AI is reshaping the trust system in the financial industry.
