Forrester’s Ming Liu discusses how AI will help improve fraud detection within the financial services industry.

Deepfake fraud is propelling dramatic market growth in deepfake detection. Innovatrics and 3Divi are the latest entrants to ...

These algorithms are from the domain of unsupervised machine learning. To date, unsupervised machine learning has mostly been overlooked for fraud detection, but in fact offers an important advantage.

Fighting Crime Using AI & Machine Learning Fraud Detection uses AI and machine learning algorithms to monitor monetary and non-monetary events and look for patterns that indicate possible risks.

First Data Corp. is hoping that its scale—it says it processes more than 2,800 transactions per second coming from more than 6 million merchants—will give its new Fraud Detect service an edge in ...

A Look Into The Future Of Fraud Detection Most exciting, for those who hope to reduce fraudulent activity even further, is that we are now seeing a new generation of algorithms that are based on ...

Petra Niedermayerova and Lucas Rozendaal contributed to this report. Both government agencies and whistleblowers are ...

It’s a great time to be in the fraud detection business in crypto and fintech. Crypto in particular has faced some high-profile scams recently, and many companies operating within the ecosystem ...

Westpac launches first Australian real-time bank fraud algorithm to catch scams The banking major will add ‘friction’ to its digital payment processes in an Australian banking first that seeks ...