BlockSec and Bitget Release Year-End Report, Analyzing New Paradigms for Web3 Trading and Security in the AI Era

Odaily News BlockSec, in collaboration with Bitget, has released a research report titled "AI × Trading × Security: Risk Evolution 3.0 in the Era of Intelligent Trading." The report systematically analyzes how AI is reshaping Web3 trading efficiency and decision-making logic, centering on the evolution of AI capabilities and its integration path with Web3. It further explores the evolutionary trends of Web3 attack and defense paradigms and the new security paradigms in the AI era. Additionally, the report outlines the application directions and practical challenges of AI in the Web3 security system from dimensions such as risk control, anti-money laundering, and risk identification.

In specific case analyses, the report cites Bitget's GetAgent as an example, noting that it leans more towards being a general-purpose trading information and investment advisory tool. GetAgent is not a conversational bot in the traditional sense but rather a "second brain" for traders in complex liquidity environments. Its core logic lies in constructing a complete closed loop connecting data, strategy, and trade execution through the deep integration of AI algorithms with real-time, multi-dimensional data. This assists users in making more effective decisions in high-frequency, multi-variable market environments.

The report concludes that the deep integration of Web3 and AI has become a significant trend in industry development, with security, risk control, and compliance capabilities serving as the crucial foundation for the continued advancement of this trend. It emphasizes the need for collaboration among different institutions within the industry to promote the development of technology, governance, and security standards, jointly fostering the healthy and sustainable development of the intelligent trading era.