Protecting Financial Transactions and Cryptocurrency Networks from Fraud Using AI-Powered Blockchain Technology

The rise of cryptocurrency and asset digitalization has created new opportunities for fraud, cyberattack, and financial crime. Conventional security mechanisms are not able to address dynamic threats, and hence the need of adopting advanced technologies to strengthen transaction security and fraud prevention. The synergy of AI and Blockchain Technology offers a revolutionary solution, blending decentralized security paradigms with cognitive fraud detection entities. As its transaction record is not owned by a single entity, it influences transparency and security of the transaction making it a robust candidate to pursue sustainable transition in PH. Smart contracts facilitate automated transaction validation and compliance enforcement mechanisms by leveraging predefined rules, resulting in reduced human intervention potential fraud. ML & DL-based AI fraud detection models monitor transaction pattern, such as irregularities, suspicious behavior, and potential threats, detector in real-time using the raw data. Fraud prevention mechanisms are enhanced by efficiently accurate and effective its capabilities using techniques such as anomaly detection, behavioral analytics, and predictive modeling. The risk assessment models driven by AI also help validate individuals and comply with anti-money laundering (AML) policies, thereby enhancing the security of finances. However, despite these improvement’s strides, there remain challenges that must be tackled for mass adoption such as scalability, regulatory compliance, data security and computational complexity. The future of financial transactions with blockchains lies in security, privacy, and efficiency, and future work should examine the combination of federated learning, homomorphic encryption, and quantum-resistant blockchain algorithms. AI and blockchain work together to protect digital assets, keep financial transparency, and reduce fraud risks in crypto and finance networks.