Expert perspectives on application security, compliance, and emerging threats
Fraud TypologiesWhat Changed The financial industry is changing how it assigns responsibility for authorized push payment (APP) fraud. Nacha will require all non-consumer ACH participants to monitor for suspected fra
Fraud Detection AnalyticsYou ve probably heard the conventional wisdom: any fraud incident damages customer relationships. Your fraud team catches a compromise, you notify the victim, you reverse the charges, and you still ex
Authentication and Access ControlThe rollout of fingerprint and facial authentication for UPI payments isn t just an India story. If your team handles fraud prevention or compliance at a fintech, you need a framework to evaluate whet
Fraud TypologiesThe Challenge Ghost tapping exploits near-field communication (NFC) technology in contactless payment chips and digital wallets. Criminals use wireless payment readers to capture credentials from tap-
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Fraud Detection AnalyticsImagine you re in a fraud operations meeting when someone suggests, What if we could see when the same synthetic identity opens accounts at three other banks in the same week? The room goes silent. Ev
Fraud Detection AnalyticsAccount takeover fraud costs the financial industry nearly $16 billion annually, yet nearly half of financial institutions allocate less than $50,000 to fraud prevention. This gap between threat and r
Fraud TypologiesScope This guide focuses on fraud detection controls for cases where consumers are manipulated into making authorized payments. It covers social engineering tactics used in authorized push payment (AP
Fraud TypologiesYour fraud prevention toolkit likely includes transaction monitoring and account takeover alerts. However, if you re waiting until after account opening to start fraud detection, you re already behind
Fraud Detection AnalyticsThe question at hand When a phishing-as-a-service platform like [Tycoon Multi-Factor Authentication (MFA)]( https://www.europol.europa.eu/newsroom/news/tycoon-Multi-Factor Authentication (MFA)-phishin
Fraud Detection AnalyticsWhen a payment exception system starts auto-approving transactions without human review, or when a fraud model flags legitimate corporate payroll as suspicious, the problem usually isn t the algorithm
Fraud TypologiesYour fraud team flags suspicious transfers. Your AML team files SARs. Neither knows what the other saw until it s too late. According to Javelin Strategy Research s 2026 Fraud Management Trends report
Fraud TypologiesGift card scams have cost U.S. consumers over $1 billion in the past two years, according to the Department of Homeland Security investigations. Yet, many fraud teams still view gift cards as low-risk
Payment Ecosystem and Transaction ProcessingYour payments operations team faces a critical decision: accept the growing burden of debit card fraud costs as a fixed expense, or invest resources in challenging the interchange fee structure that d
Fraud Detection AnalyticsPurpose of the Template This decision template provides your fraud operations team with a structured framework to evaluate suspicious transactions in real-time payment environments. With instant payme
Authentication and Access ControlWhat Happened Biometric authentication and digital ID programs are stuck in pilot phases despite years of development and clear security benefits. A recent scorecard evaluating biometric authenticatio
Authentication and Access ControlYou re not moving to passwordless authentication because it s trendy. You re doing it because your current authentication stack can t keep up with AI-driven fraud tactics. Javelin s research shows a 9
