Current analysis on payment security, fraud prevention, AML/KYC, and PCI DSS compliance.
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
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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
Vulnerability and Software SecurityThe Justice Department and FBI recently dismantled platforms used by Chinese state-sponsored hackers to infiltrate critical U.S. infrastructure. An affidavit reveals over 300 U.S. organizations were c
Fraud Detection AnalyticsYour payment network holds transaction data that open-loop competitors can t access. You control both issuing and acquiring, owning relationships with both merchants and cardholders. This structural a
Chargebacks and DisputesYour fraud program probably started at checkout. That s where the immediate dollar loss shows up, where chargebacks get counted, and where you can draw a clean line between fraud detected and fraud pr
Fraud TypologiesAustralia s Scams Prevention Framework takes effect in March 2027, imposing penalties of up to $52.7 million per violation for banks. However, the framework excludes the platforms where most scams ori
Fraud Detection AnalyticsThe account looks fine. Clean email, valid phone number, reasonable shipping address. Your automated checks pass it through. Three weeks later, you re staring at 47 accounts that share the same device
Fraud Detection AnalyticsWhen an attacker operates from inside your customer s banking session, on their device, using their IP address, your traditional fraud signals go quiet. ToxicPanda 2.0 shows why your team must now acc
AML and KYCThe Challenge You ve got a fraud risk management program that catches unauthorized transactions and an anti-money laundering (AML) program that monitors suspicious patterns. But what happens when the
Vulnerability and Software SecurityYour institution just closed an acquisition. The integration team has a 90-day plan. Your security team has three weeks and a list of systems you inherited that s already out of date. The gap between
Fraud TypologiesWhat Changed A new fraud tactic is spreading across US financial institutions. Scammers now impersonate both your bank and law enforcement in a single call, accusing victims of serious crimes to induc
Fraud Detection AnalyticsYou ve got 90 days to document how your institution detects, prevents, and responds to fraud. This isn t a compliance summary or a list of tools. It s a risk-based framework showing how your fraud con
