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 ...

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, ...

Stephanie Mitchell explains why a multi-layered defence is crucial in the fight against fraud and how behavioural analysis and AI – alongside traditional fraud controls like device identification and ...

Read more about Banks could strengthen credit card fraud screening with ensemble machine learning model on Devdiscourse ...

Remote online notarization (RON) firm Proof has launched an artificial intelligence (AI)-powered fraud detection tool called Defend. According to the company’s announcement on Tuesday, the tool is ...

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 ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

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 ...

Proactive monitoring is no longer optional for leaders—it’s essential to safeguarding a vulnerable and growing population.

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

In August, German banks froze over €10 billion in PayPal payments due to suspected fraud, a disruption that underscored the scale of growing financial security concerns. If even long-standing, trusted ...