Fraud is rising, and with real-time payments taking an ever greater hold of the financial system, faster ways to combat are needed.
Fraud is a significant challenge for lenders, impacting both operational efficiency and financial stability. Legacy methods for detecting fraud are proving to be inadequate in the face of new techniques, so AI-powered detection is needed.
Sift’s Fraud Industry Benchmarking Resource (FIBR) lets fraud professionals see how their business’ security tools stack up against the competition.
There are the five critical considerations to weigh before building a risk decisioning platform. This white paper offers a roadmap for evaluating third-party solutions.
Expert speakers from banks, credit unions, lending institutions, fintechs, and beyond engaged in spirited conversation inside our makeshift boxing ring.
Organized crime groups are exploiting gaps in detection technology to orchestrate financial fraud on a massive level simultaneously across multiple businesses and geographies. The result? Actual fraud rates are multiple times higher than reported
First-party fraud is rife, costing over $100 billion a year. Many say they're accidental, but data sharing could stop repeat offenders.
Fraudsters continue to evolve, with technology making it easier to get started and thrive, Sift's new Digital Trust and Safety Index shows.
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The iProov Threat Intelligence Report 2024 describes how technologies have accelerated the digital arms race between threat actors and those who stop them.
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Serial fraud is becoming a major problem for financial institutions today as criminals use automation and scale like never before. This white paper provides actionable steps to combat serial fraud.