Fraud Detection and Risk Management with Machine Learning
In an increasingly digital and interconnected world, fraud is not just a growing threat—it’s a rapidly evolving challenge. From financial institutions to e-commerce platforms, organizations are constantly looking for smarter ways to stay ahead of malicious actors. Traditional fraud detection systems, though still in use, often rely on predefined rules and static thresholds, which can be bypassed by sophisticated fraud schemes.
This is where machine learning (ML) comes in—providing a powerful, dynamic approach to both fraud detection and risk management.