Expert perspectives on application security, compliance, and emerging threats
Fraud Detection AnalyticsThe Challenge Authorized push payment fraud exposes a critical gap in verification processes. You ve implemented multi-factor authentication , device fingerprinting , and behavioral biometrics in your
Fraud Detection AnalyticsIn every cross-functional fraud prevention meeting, the same questions arise. A fraud analyst identifies a pattern, AML wants to alert partners, legal says no, compliance cites GDPR, and engineering w
Fraud Detection AnalyticsYour fraud prevention controls are meant to protect revenue, but they re driving customers away. Over three-fifths of U.S. e-commerce businesses and 58% of retail businesses report losing customers du
Fraud Detection AnalyticsYou don t need a six-month roadmap to start using AI for fraud detection. You need a clear assessment of what you can deploy, what it ll cost, and whether your existing systems can handle it. This che
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Fraud Detection AnalyticsBlock s $45 million settlement with 46 US states over Cash App s fraud prevention failures highlights more than just a compliance issue. It s a recurring pattern in peer-to-peer payment platforms: tea
Fraud Detection AnalyticsThe Conventional Wisdom Ask your compliance team about preparing for AI-driven transactions, and you ll likely hear the same advice: build a robust trust framework. Implement zero-trust architecture .
Fraud Detection AnalyticsFraud teams are increasingly realizing their onboarding controls aren t catching synthetic identity fraud. This type of fraud doesn t trigger the usual alarms, there s no victim disputing charges or c
