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In today's rapidly developing digital business environment, risk control systems have become a core defense line for enterprises against black production, fraud, and ensuring transaction security. However, traditional risk control faces challenges such as high reliance on manpower and lagging strategies. Data analysts need to manually extract risk characteristics and design protection rules from massive amounts of data daily, which is time-consuming and laborious; new strategies often take days or even weeks to be discovered and launched, while black production has already iterated its attack methods. How can we make risk control systems think and evolve in real-time like humans? The answer lies in the deep integration of AI Agents and risk control systems. Breakthrough.