Current analysis on payment security, fraud prevention, AML/KYC, and PCI DSS compliance.
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
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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 EcosystemYour 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-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-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
Fraud TypologiesThe Question at Hand Your fraud detection systems are designed to catch external threats like account takeovers and card-not-present fraud. But what happens when the fraudster is your customer? First-
Fraud Detection AnalyticsSpam filters flagged one phishing email every 19 seconds last year, down from 42 seconds the previous year. That s a 121% increase in detection frequency. More concerning, a Cofense study found a 204%
Fraud Detection AnalyticsYou ve seen the headlines about AI agents making purchases. Your board has asked about agentic commerce. And somewhere in your organization, someone has already decided what it means for your fraud co
Fraud Detection AnalyticsYour cross-border payment controls aren t failing because you lack technology. They re failing because you re still running a manual verification process while organized fraud rings operate with indus
Fraud Detection AnalyticsReal-time payment systems like Zelle and RTP settle transactions immediately. Once a customer confirms a transfer, it s irreversible. This leaves no room for traditional fraud detection methods that r
Fraud TypologiesWhat Happened Criminals forced more than 700 ATMs across the United States to dispense cash on command last year, netting approximately $12 million. The attack method, called jackpotting , isn t sophi
Fraud TypologiesThe Challenge Between 2024 and 2025, financial institutions saw a 65% year-over-year increase in scam volume. This surge overwhelmed investigation teams, strained customer service, and left fraud depa
