Expert perspectives on application security, compliance, and emerging threats
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
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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
Fraud TypologiesFinancial institutions face a genuine dilemma: resolve disputes too quickly and you ll lose money to first-party fraud . Apply too much scrutiny and you ll drive legitimate customers to competitors wh
Fraud Detection AnalyticsYou re designing your fraud prevention stack with a limited budget and a stretched engineering team. The big decision: invest in identity verification at account creation and login, or focus on transa
Data Protection MethodsIn a payments operations Slack channel, teams are grappling with tokenization strategy, ownership, and the implications of Mastercard s 2030 mandate on their infrastructure. They re not asking about t
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 AnalyticsThis checklist turns Nacha s WEB debit rule requirements into a strategic fraud prevention framework. If you re treating ACH fraud monitoring as a set-it-and-forget-it solution, you re missing an oppo
Payment Ecosystem and Transaction ProcessingWhen international payment networks exit a market overnight, your compliance team faces a scenario you rarely plan for: can a domestic payment system sustain transaction volume, fraud controls, and cr
Fraud Detection AnalyticsFedNow and the RTP network have changed the game. Once you authorize a payment, the money moves immediately and irrevocably. The traditional safety net of time to detect fraud, reverse transactions, o
Fraud Detection AnalyticsThe Challenge Your fraud operations team might notice an unusual pattern: thousands of sequentially created email addresses appearing across multiple merchant environments daily. These activities seem
Fraud Detection AnalyticsThe Challenge of Real-Time Fraud Decisions You re staring at a transaction flagged by your rule engine at 2:47 AM. The customer s on hold, your call center s escalating, and you ve got about 90 second
