BlockSec and Bitget jointly released a year-end report analyzing the new paradigm of Web3 transactions and security in the AI ​​era.

BlockSec, in collaboration with Bitget, 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, focusing on the evolution of AI capabilities and their integration with Web3. It further explores the evolutionary trends of Web3 attack and defense in the AI ​​era and new security paradigms. The report also outlines the application directions and real-world challenges of AI in the Web3 security system from the perspectives of risk control, anti-money laundering, and risk identification. In a specific case study, the report uses Bitget's GetAgent as an example, pointing out that it leans more towards general-purpose trading information and investment advisory tools. GetAgent is not a traditional conversational robot, but rather a "second brain" for traders in complex liquidity environments. Its core logic lies in building a complete closed loop connecting data, strategies, and trade execution through the deep integration of AI algorithms and real-time multi-dimensional data, assisting users in making more effective decisions in high-frequency, multi-variable market environments. The report concludes by noting that the deep integration of Web3 and AI has become a significant trend in the industry, while security, risk control, and compliance capabilities are crucial foundations for the continued advancement of this trend. The report emphasizes the need for collaboration among different institutions within the industry to advance the development of technology, governance, and security standards, jointly promoting the healthy and sustainable development of the intelligent trading era.