TechFlow News, January 26: BlockSec and Bitget jointly released the research report “AI × Trading × Security: Risk Evolution 3.0 in the Era of Intelligent Trading.” Centered on the evolution of AI capabilities and their integration pathways with Web3, the report systematically analyzes how AI is reshaping trading efficiency and decision-making logic in Web3, and further explores evolving trends in Web3 offense-defense dynamics—and emerging security paradigms—in the AI era. Additionally, the report outlines application directions and practical challenges for AI within the Web3 security framework, covering dimensions such as risk control, anti-money laundering (AML), and risk identification.
In concrete case studies, the report highlights Bitget’s GetAgent as an example, noting that it functions more as a general-purpose trading information and investment advisory support tool. GetAgent is not a conventional conversational chatbot; rather, it serves as traders’ “second brain” amid complex liquidity environments. Its core logic lies in deeply integrating AI algorithms with real-time, multidimensional data to establish a complete closed loop connecting data, strategies, and trade execution—thereby assisting users in making more effective decisions within high-frequency, multi-variable market conditions.
The report concludes by underscoring that deep integration between Web3 and AI has become a pivotal industry trend, with security, risk management, and compliance capabilities forming the essential foundation enabling its continued advancement. It stresses the need for collaborative efforts across industry institutions to jointly advance technological development, governance frameworks, and security standards—thus collectively fostering the healthy and sustainable development of the intelligent trading era.
