We implement a self-developed Tri-Factor Multi-Authentication Procedure (TF MAP) to ensure the safety and accuracy of every transaction. This system involves a three-party, six-layer verification process among the user, the system, and the network nodes. Each transaction must pass six independent authentication checks, significantly reducing the risk of security breaches.
To enhance security, we have integrated the TF MAP framework on top of the standard TCP/IP four-layer protocol, creating a 24-layer firewall system. This structure provides comprehensive protection against cyberattacks while maintaining optimal transaction speed. Despite the enhanced security layers, algorithm and hardware optimizations ensure smooth and seamless transactions.
Our AI-driven risk monitoring system employs deep learning and big data analytics to detect abnormal trading patterns in real time. It identifies suspicious transactions, such as sudden large fund movements or unusual trading behaviors, and proactively alerts users and system administrators. Additionally, AI monitors market risks from macroeconomic shifts or regulatory changes, triggering automatic safeguards like transaction limits or account freezes to mitigate threats effectively.
