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Interlace and BlockSec held the "Next Decade of Payments" summit, releasing the AI Agent Payment White Paper

On July 17, Interlace and BlockSec jointly held the summit "The Next Decade of Payments: Digital Currency, AI Agents, and the New Global Financial Order." The event brought together industry guests from AI, Web3, security, and payments to discuss the development trends of stablecoin payments, security compliance, AI agents, and global payment infrastructure.BlockSec co-founder Zhou Yajin and Interlace founder and CEO Michael Wu delivered keynote speeches on "Security and Compliance in Crypto Payments" and "Agentic Payment and the New Infrastructure of Global Finance," respectively, sharing their latest observations on the development trends of digital asset payments. As the scenarios for stablecoin payments continue to expand, the security compliance system and the construction of a new generation of payment infrastructure are becoming key supports for driving industry development. In the future, payment infrastructure will not only serve the function of capital flow but will also further evolve into a programmable, trusted, and verifiable value transfer system, providing underlying support for the connection between digital assets and real-world commerce.At the event, Interlace also officially released the white paper "The Value Transmission Layer of the AI Economy: From Concept to Implementation." The white paper was jointly initiated with ecosystem partners such as Bitget, BlockSec, Cobo, Conflux, Stable, Xagent, and Hetu, systematically defining the architecture, standards, and implementation paths of Agentic Payment infrastructure, providing a reference for value transfer in the era of the AI economy.

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.
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