Expert perspectives on application security, compliance, and emerging threats
Fraud TypologiesFraud analysts often face this dilemma. A customer disputes a charge they authorized, wires money after a call they initiated, or claims their card was stolen, yet the shipping address matches their p
Fraud TypologiesRecord Surge in First-Party Fraud Cifas, a UK fraud prevention consortium, reported a significant rise in fraud cases in its National Fraud Database during the first half of this year. While identity
Fraud TypologiesThe Challenge In 2025, Open Banking Limited tracked fraud across account providers representing over 60% of UK Open Banking payment volumes. The data highlighted a specific issue: while Open Banking h
Fraud Detection AnalyticsYou re blocking synthetic identities at account opening. You ve got behavioral analytics watching for account takeover. But if a fraud ring hits six fintechs in your city this month using the same dev
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Fraud TypologiesWhat Changed The financial industry is changing how it assigns responsibility for authorized push payment (APP) fraud. Nacha will require all non-consumer ACH participants to monitor for suspected fra
Fraud Detection AnalyticsYou ve probably heard the conventional wisdom: any fraud incident damages customer relationships. Your fraud team catches a compromise, you notify the victim, you reverse the charges, and you still ex
Fraud Detection AnalyticsAccount takeover fraud costs the financial industry nearly $16 billion annually, yet nearly half of financial institutions allocate less than $50,000 to fraud prevention. This gap between threat and r
Fraud TypologiesScope This guide focuses on fraud detection controls for cases where consumers are manipulated into making authorized payments. It covers social engineering tactics used in authorized push payment (AP
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 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
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 and 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 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 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 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
