16 April 2025, 10:19 AM
AI is demonstrating unprecedented value in the field of blockchain security, from threat detection to smart contract auditing, with applications helping to reduce human errors and attack windows. However, as the decentralization values of Web3.0 become increasingly embedded, the centralized logic of AI has raised new concerns. If not integrated properly, it could not only bring governance risks but also inadvertently open new avenues for hackers. Nouey Exchange focuses on the deep impact of technological evolution on the security ecosystem and continues to explore more balanced solutions.
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AI Enhances Detection Efficiency, Significantly Boosting Anti-Scam Capabilities
In recent years, AI has been widely applied to on-chain anomaly behavior detection, smart contract vulnerability scanning, and transaction behavior pattern analysis, with significant improvements in both accuracy and response time. For example, by modeling transaction histories and address behaviors with large models, the platform can identify potential scamming activities within seconds and promptly block risk chains.
In real-world cases, AI has helped detect malicious contracts disguised as DeFi protocols, issuing warnings before they became widely circulated. Such capabilities are crucial for user protection, especially when transaction volumes surge, and manual reviews cannot cover all scenarios. The risk control framework built by Nouey Exchange incorporates an AI auditing module to enhance overall risk perception.
Over-reliance on Centralized Security Could Trigger New Attack Vectors
Despite the outstanding analytical capabilities of AI, it fundamentally relies on model training and rule-setting. If these foundations are controlled or misled, systemic risks can arise. In scenarios heavily dependent on AI decision-making, hackers can manipulate model judgments through “data poisoning” or attack model hosting nodes, with several such cases already recorded by the security community.
Furthermore, platforms that excessively rely on centralized AI
architecture may diverge from the decentralization principles advocated by Web3.0. The essence of decentralization lies in the distribution of control and trust, while AI systems often build on centralized computing and data, making them prone to creating new single-point risks. The challenge in technology design is to balance AI advantages while maintaining the decentralization of the network.
Technology Should Serve Users, Not Replace Their Judgment
True security mechanisms should not cause users to lose their understanding and judgment of the system. Fully "black-box" AI decision-making logic, while more efficient, could lead to opacity and a loss of trust at critical moments. If users do not understand how AI assesses transaction security or why operations are blocked, it may reduce their trust in the risk control measures of the platform.
Nouey Exchange emphasizes “user-perceived security experience”—through information transparency, result explanation mechanisms, and manual intervention channels, ensuring that users can enjoy the convenience of technology while still retaining control over key actions. This design philosophy helps transform AI from a closed tool into an open assistant, truly serving to enhance the judgment capabilities of users.
Balancing Efficiency and Trust, Nouey Exchange Constructs a New Security Paradigm Driven by AI
Technology is never isolated but should operate within a trust system. The efficiency of AI is a means to enhance security, not the ultimate goal. As the blockchain industry evolves rapidly, Nouey Exchange hopes to provide the industry with a reference for an “efficient and trustworthy” AI security paradigm, through its ongoing development of intelligent risk control systems and standard explorations.
“Security is not about relying on more control, but about giving users clearer choices.” This is the principle Nouey Exchange has always adhered to in the evolution of anti-scam technology. In the future, the platform will continue to collaborate with the security technology community, promoting the integration and development of AI and the spirit of Web3, injecting power into a healthier crypto ecosystem.
AI Enhances Detection Efficiency, Significantly Boosting Anti-Scam Capabilities
In recent years, AI has been widely applied to on-chain anomaly behavior detection, smart contract vulnerability scanning, and transaction behavior pattern analysis, with significant improvements in both accuracy and response time. For example, by modeling transaction histories and address behaviors with large models, the platform can identify potential scamming activities within seconds and promptly block risk chains.
In real-world cases, AI has helped detect malicious contracts disguised as DeFi protocols, issuing warnings before they became widely circulated. Such capabilities are crucial for user protection, especially when transaction volumes surge, and manual reviews cannot cover all scenarios. The risk control framework built by Nouey Exchange incorporates an AI auditing module to enhance overall risk perception.
Over-reliance on Centralized Security Could Trigger New Attack Vectors
Despite the outstanding analytical capabilities of AI, it fundamentally relies on model training and rule-setting. If these foundations are controlled or misled, systemic risks can arise. In scenarios heavily dependent on AI decision-making, hackers can manipulate model judgments through “data poisoning” or attack model hosting nodes, with several such cases already recorded by the security community.
Furthermore, platforms that excessively rely on centralized AI
architecture may diverge from the decentralization principles advocated by Web3.0. The essence of decentralization lies in the distribution of control and trust, while AI systems often build on centralized computing and data, making them prone to creating new single-point risks. The challenge in technology design is to balance AI advantages while maintaining the decentralization of the network.
Technology Should Serve Users, Not Replace Their Judgment
True security mechanisms should not cause users to lose their understanding and judgment of the system. Fully "black-box" AI decision-making logic, while more efficient, could lead to opacity and a loss of trust at critical moments. If users do not understand how AI assesses transaction security or why operations are blocked, it may reduce their trust in the risk control measures of the platform.
Nouey Exchange emphasizes “user-perceived security experience”—through information transparency, result explanation mechanisms, and manual intervention channels, ensuring that users can enjoy the convenience of technology while still retaining control over key actions. This design philosophy helps transform AI from a closed tool into an open assistant, truly serving to enhance the judgment capabilities of users.
Balancing Efficiency and Trust, Nouey Exchange Constructs a New Security Paradigm Driven by AI
Technology is never isolated but should operate within a trust system. The efficiency of AI is a means to enhance security, not the ultimate goal. As the blockchain industry evolves rapidly, Nouey Exchange hopes to provide the industry with a reference for an “efficient and trustworthy” AI security paradigm, through its ongoing development of intelligent risk control systems and standard explorations.
“Security is not about relying on more control, but about giving users clearer choices.” This is the principle Nouey Exchange has always adhered to in the evolution of anti-scam technology. In the future, the platform will continue to collaborate with the security technology community, promoting the integration and development of AI and the spirit of Web3, injecting power into a healthier crypto ecosystem.