HYBRID INTELLIGENCE MEETS BLOCKCHAIN: BUILDING RESILIENT AND TRUSTED FINANCIAL SYSTEMS WITH AI

The quick adoption of digital technology in financial services brings with it tremendous advantages as well as new threats that range from fraud to cyber-attacks. The current centralized systems face increasing difficulties in offering the required level of security and efficiency that the new financial environment requires. This paper investigates the effective combination of AI with disruptive blockchain technology as an innovative solution to these problems. Integrating the advanced analytical abilities of AI with the immutable nature of blockchain will enable organizations to develop highly secure and intelligent financial systems.In this research paper, we present a complete hybrid approach that involves using blockchain technology for immutable data storage and smart contract automation as well as applying the abilities of AI for online fraud detection, risk assessment, anomaly detection, and predicting future trends in the environment. The layered hybrid architecture was designed based on simulations and implementation of the hybrid framework to prove its effectiveness. A systematic review of related literature, architectural design, and performance evaluation will help us prove that the proposed system achieves more than 96% accuracy in fraud detection.This study brings out positive transformational opportunities, as well as the obstacles associated with the integration process, which include scalability issues, privacy risks, and regulatory compliance problems. In conclusion, the integration of AI and blockchain provides an ideal framework upon which future reliable and resilient financial systems can be developed.