Current analysis on payment security, fraud prevention, AML/KYC, and PCI DSS compliance.
Fraud TypologiesWhat Happened In November 2025, a federal grand jury indicted Sergei Anatolyevich Filimonov, a Russian web developer, for a credential-harvesting scheme that compromised at least 19 bank accounts, ste
Fraud Detection AnalyticsFraud detection software vendors promise adaptive models, real-time scoring, and self-learning algorithms. Your leadership wants to know why you re still seeing false positives and missed fraud patter
Fraud TypologiesScope - What This Guide Covers This guide focuses on the shift from retail banking fraud to direct intrusions into core financial infrastructure, as seen in Breeze Comet s attacks on Brazilian payment
Fraud TypologiesYour call center processes dozens of direct deposit changes each week. Most are legitimate. One isn t, and by the time you discover it, three paychecks have already landed in a fraudster s account. Di
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Fraud Detection AnalyticsYour fraud detection stack probably includes transaction monitoring , behavioral analytics, and consortium intelligence. What it likely doesn t include is structured dark web intelligence. That gap ex
Fraud Detection AnalyticsRecent Q2 2026 benchmark data reveals a troubling trend: while fraud attack volumes are declining, chargeback costs are rising. This shift from volume to precision attacks requires a reevaluation of y
Fraud TypologiesYou ve heard it in meetings, seen it in org charts, and during vendor pitches. The fraud team handles unauthorized transactions. The AML team files Suspicious Activity Reports (SARs). Two functions, t
Authentication MethodsAround 88% of digital banking attacks rely on legitimate credentials obtained through phishing or leaks. Your MFA is working as intended, but your fraud controls stop watching after login. That s the
Fraud Detection AnalyticsYou re staring at a flagged transaction. An email shows 15 card attempts in the last hour. The average order value is $3.50. Do you block it outright, or step up authentication and risk losing a legit
Fraud Detection AnalyticsEvery fraudulent account that slips through your registration process costs you twice: first when it abuses your platform, and again when it skews the data your team relies on for decisions. If you re
Fraud TypologiesThe Challenge Your fraud team faces a deceptively simple problem: users want to make purchases with a single click, but this seamless process can lead to account takeover fraud. Once an attacker gains
Fraud TypologiesScope This guide focuses on the technical signals and operational framework your team needs to detect fake accounts both at registration and throughout the user lifecycle. It s designed for marketplac
Fraud Detection AnalyticsFinancial institutions often bear the brunt of fraud prevention. This assumption shapes regulatory frameworks and consumer expectations, creating blind spots that fraudsters exploit daily. The idea of
Fraud Detection AnalyticsYour fraud team just flagged an account for review. The email address looks clean. The device fingerprint passed. But something feels off. You want to see if this identity connects to other suspicious
Fraud Detection AnalyticsAugust s fraud data reveals a structural shift in how attacks reach your checkout. The numbers matter less than what they signal: fraud rings now operate with industrial-scale automation, and your det
Chargebacks and DisputesFriendly fraud now accounts for 43.8% of all chargebacks, according to Chargebacks911 s 2026 Field Report . Nearly half of the disputes involve cardholders who received what they ordered but still fil
