MACHINE LEARNING ALGORITHIMS RAPIDLY IDENTIFY TRUE THREATS
Fraud detection using cognitive computing powered by embedded human logic and artificial intelligence simulates the human brain to anticipate fraudster activity when algorithmic monitoring results in equivocal or inconclusive behavior. By integrating fraud detection know-how with human context-based data analysis methods and computing power, we detect fraudulent events in real-time to protect organizational assets and reputation, reduce operational risks and optimize performance and growth opportunities.