Combining Blockchain and AI to Optimize the Intelligent Risk Control Mechanism in Decentralized Finance

Tianzuo Zhang

doi:10.70393/6a69656173.323739

Authors

Tianzuo Zhang University of Southern California

DOI:

https://doi.org/10.70393/6a69656173.323739

ARK:

https://n2t.net/ark:/40704/JIEAS.v3n2a04

Disciplines:

Artificial Intelligence Technology

Subjects:

Cybersecurity

References:

11

Keywords:

Blockchain, Artificial Intelligence, Decentralized Finance (DeFi), Risk Management, Intelligent Risk Control, Smart Contracts

Abstract

This study explores the optimized application of combining blockchain (Blockchain) and artificial intelligence (AI) in the intelligent risk control of decentralized finance (DeFi). Although the decentralization and transparency of DeFi have driven financial innovation, they have also introduced risks related to market manipulation, smart contract vulnerabilities, and liquidity. Traditional centralized risk control approaches struggle to adapt. This research proposes a blockchain+AI-based intelligent risk control framework. Blockchain’s tamper-resistance enhances transaction security, while AI’s intelligent learning capabilities improve risk identification. Experimental results show that this model outperforms traditional solutions in detection accuracy (94.1%), false alarm rate (2.1%), and detection latency (180ms), and it remains robust under high market volatility. The findings suggest that combining blockchain and AI can effectively strengthen DeFi risk control, enhance system transparency and security, and provide theoretical and practical directions for future intelligent and automated risk management.

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Author Biography

Tianzuo Zhang, University of Southern California

University of Southern California, USA.

References

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