Securing the Future of Financial Transactions: Innovations in AI and Quantum-Resistant Cryptography [English]

Author: Angela Scott-Briggs | Miller V | Source: TechBullion | Read the full article in English

In a rapidly evolving financial landscape, the integration of artificial intelligence (AI) and quantum-resistant cryptography is set to revolutionize how financial transactions are secured. Leading researcher Aparna Thakur has developed a new framework that combines these technologies to enhance the security and efficiency of global payment systems. As quantum computing advances, traditional security measures are increasingly at risk, making this innovative approach crucial for the future of financial transactions.

The proposed framework utilizes lattice-based cryptography, a method designed to withstand both classical and quantum computing attacks. This ensures that financial transactions remain secure over time, even as technology evolves. Additionally, AI plays a significant role in optimizing payment reconciliation processes, reducing errors, and improving the overall efficiency of financial operations. By employing advanced algorithms and machine learning, institutions can automate many tasks that previously required manual intervention.

Furthermore, the framework addresses the challenge of fraud detection by enabling collaboration among financial institutions without compromising sensitive data. By using federated learning and quantum-safe digital signatures, the system enhances the integrity of financial messaging and strengthens defenses against potential threats. Overall, this innovative approach not only secures financial transactions but also prepares institutions for a future where quantum computing is a reality.

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