Current analysis on payment security, fraud prevention, AML/KYC, and PCI DSS compliance.
Fraud Detection AnalyticsThe Growing Threat In 2025, global fraud and scam losses hit $579.4 billion, increasing at 9.2% annually since 2023. Authorized push payment scams, including romance frauds and impersonation attacks,
Fraud Detection AnalyticsThe conventional wisdom says cryptocurrency firms need to get serious about fraud detection and adopt the same controls traditional banks use. FinCEN recently reported $12.7 billion in cryptocurrency
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 Detection AnalyticsYou ve deployed a CDN, a Web Application Firewall, bot detection, and device fingerprinting . Your authentication layer validates credentials. Your logs show clean traffic. Yet credential stuffing att
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Fraud Detection AnalyticsVisa s A2A Protect service now includes a fraud score powered by Featurespace technology, marking the first in-market deployment since Visa s 2024 acquisition. The key takeaway: fraud detection increa
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 Detection AnalyticsThe Hong Kong Monetary Authority (HKMA) report from June 2026 revealed a troubling issue: machine learning models flagged 42% of customers as high risk, while rules-based systems rated them medium. Th
Fraud Detection AnalyticsFraud scam losses are projected to reach $62 billion by 2025, growing at 19.3% annually. Your institution sees the money move, but the scam started hours earlier on a platform you don t monitor, throu
Fraud Detection AnalyticsInterpol uses a global system to intercept fraudulent payments before criminals cash out. Your institution might receive a request to freeze or reverse a transaction flagged through this international
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 Detection AnalyticsThese questions surfaced in three different team channels last week. A payments engineer was troubleshooting ACH return spikes, a fraud analyst was reviewing quarterly costs, and an integration lead w
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
