BlockSec, in collaboration with Bitget, releases an annual report analyzing the new paradigm of Web3 trading and security in the AI era

BlockSec, in collaboration with Bitget, has released a research report titled "AI × Trading × Security: The Evolution of Risks in the Era of Intelligent Trading 3.0." The report systematically analyzes how AI capabilities evolve and their integration with Web3, exploring how AI reshapes trading efficiency and decision-making logic in Web3. It further discusses the evolutionary trends of offensive and defensive patterns in Web3 during the AI era and the new paradigms of security. Additionally, the report outlines the application directions and real challenges of AI in the Web3 security system from the perspectives of risk control, anti-money laundering, and risk identification.

In the specific case analysis, the report takes Bitget's GetAgent as an example, pointing out that it leans more towards a general trading information and advisory tool. GetAgent is not a traditional conversational bot but rather a "second brain" for traders in complex liquidity environments. Its core logic lies in the deep integration of AI algorithms and real-time multidimensional data, creating a complete closed loop that connects data, strategies, and trade execution to assist users in making more effective decisions in high-frequency, multi-variable market environments.

The report concludes by stating that the deep integration of Web3 and AI has become an important trend in industry development, while security, risk control, and compliance capabilities are the key foundations for sustaining this trend. The report emphasizes the need for different institutions within the industry to collaborate in advancing technology, governance, and security standards to jointly promote the healthy and sustainable development of the intelligent trading era.