Playing with Reality: AI vs the Fraudsters

With the increasing prevalence of digital monetary transactions, fraud has become an ever-present threat to all of us online. And advancements in AI have also made it possible for fraudsters to use sophisticated techniques to perpetrate their crimes. From deepfakes to investment scams, AI has made it easier than ever for fraudsters to manipulate people and systems.

 

But AI is also being used to fight back - identifying patterns of fraud, detect anomalies in transactions, and even using behavioural biometrics to spot fraudsters before they can commit the crime. But who is winning in the battle between fraudsters and those fighting them? Will AI be the saviour here, or something that makes the issue of fraud worse? Find out on this episode of Playing with Reality.

Daniel Holmes is a highly experienced global Fraud Prevention Leader with a career working across multiple business sectors, including Banks and Fraud & Financial Crime technology providers. He focuses on how data, technology, analytics, process and education can help banks to succeed in protecting customers and reducing fraud losses. He works as the Fraud Prevention SME at Feedzai, a company whose RiskOps platform leverages machine learning and big data to prevent and detect financial crime for some of the world's largest banks.