A UK-based Nigerian fraud analyst, Adepeju Deborah Bello, has launched a groundbreaking research initiative aimed at protecting Nigeria’s microenterprises from financial fraud using artificial ...

Heimdal reports AI enhances identity theft, making fake IDs easier to create using social media photos, escalating fraud ...

Paris-based AI startup Veesion has developed a gesture recognition algorithm that uses behavior rather than appearances to ...

By recognizing these types of fraud and implementing strategies such as machine learning algorithms for pattern recognition and anomaly detection, companies can enhance their ability to combat ...

Financial anomaly detection is crucial for maintaining market order and protecting investor interests. This study explores the application of machine learning in financial anomaly detection. Using ...

AI and machine learning (ML) are at the forefront of developing solutions to detect and mitigate the risks associated with deepfakes. This article explores how AI and ML are being leveraged to fight ...

Graphical representation involves presenting data in a visual format (e.g., charts, graphs, diagrams) to help detect patterns, anomalies, and trends in the data. A network diagram of related-party ...

Credit card companies must be able to identify fraudulent credit card transactions so that clients are not charged for items they did not purchase. Previously, many machine learning approaches and ...