Another trend picking up steam is federated learning—a method that enables organizations to jointly train models for detecting fraud without having to share customer data. This method increases the smarts of AI systems in organizations without compromising on user privacy, which is perfect for countries with stringent data regulations.
Finally, in redefining financial security, artificial intelligence and machine learning have made fraud detection an anticipatory discipline. With the use of behavioral analytics, anomaly detection, biometrics, and ethical governance, the industry has come a long way. As Krishna Mula puts it, the future of financial security is about balancing advanced technology with regulation and human expertise to establish trust and resilience in the global financial system.
