Explore how AI-driven fraud detection is strengthening security in online casino operations through real-time monitoring, ...

Fraud detection systems live and die by the quality of their signals. Yet too often, these systems operate on flawed assumptions, particularly when it ...

AI is reshaping telecom networks enabling smarter operations, stronger security and personalised connectivity while driving ...

Risks, Examples & Detection Employment identity theft is no longer limited to stolen documents or fake tax filings. It now shows up in hiring pipelines, remote interviews, and onboarding ...

Stephanie Mitchell explains why a multi-layered defence is crucial in the fight against fraud and how behavioural analysis ...

AI continues to gain momentum, and according to a recent report by Accenture, the technology is predicted to add $1.2 trillion in value to the financial sector by 2035. As the head of a platform that ...

In today’s digital world, fraud has become more complex, which means we need smarter ways to detect and prevent it. Generative AI helps with this by looking at large amounts of data in real-time, ...

How synthetic identities, deepfakes, and generative AI are forcing banks to rethink fraud prevention, identity assurance, and ...

Fraud detection is no longer enough to protect today’s financial ecosystem. As digital transactions increase in volume and complexity, banks require intelligent systems that can assess risk with ...

One area of focus for the bank is using advanced artificial intelligence to detect business-email compromise. In Ryan Schmiedl's work protecting JPMorgan Chase from fraud of all kinds, business-email ...