Securing and optimizing blockchain performance in financial services using artificial intelligence and deep learning

Abstract

Advancements in artificial intelligence (AI) and deep learning (DL) have transformed how we interact with money and finance. AI plays a key role in predictive analytics, machine learning, and automating financial transactions. By integrating AI, financial institutions can analyze data, assess risks, make real-time decisions, streamline processes, and improve efficiency. Meanwhile, blockchain—a decentralized, tamper-resistant ledger—has brought about a significant shift in financial transactions. Its ability to create an unalterable record ensures data integrity, providing unmatched security. This makes blockchain a powerful tool for strengthening financial systems against cyber threats and fraud. This research primarily examines the impacts of AI and DL on financial services. Integrating AI with blockchain enhances fraud detection, risk management, and early identification of potential threats, ensuring greater protection for financial institutions and their customers. Today, the adoption of these technologies has been widely embraced, leading to a new era of innovation in the financial sector. Their combined use not only addresses existing challenges but also opens the door to more efficient and innovative financial ecosystems. In conclusion, combining AI with blockchain technology offers significant potential for improving security within financial services.