Electronic Fraud (eFraud)
Beyond putting in place robust and appropriate policies and procedures, it is also important to leverage innovation in detection- and prevention-based software solutions.
Solutions that are based on multiple detection and prevention technologies should be employed; including those that exhibit capabilities such as Hybrid analytic approaches, that is, leveraging multiple techniques (automated business rules, predictive modelling, text mining, database searches, exception reporting, network link analysis are important).
Also, when detecting more suspicious activity with greater accuracy, transaction data analytics must utilise AI and machine learning techniques, combined with traditional detection methods, to process all data in real-time or in batch, to identify more fraud and reduce false positives.
At TriVersa, we consider the right solution after reviewing your business risks and threat analysis profile.