Expert perspectives on application security, compliance, and emerging threats
Fraud Detection AnalyticsScope of This Guide This guide focuses on implementing numberless card programs and smartphone-based authentication for Card Not Present (CNP) transactions. It s designed for payment security engineer
Fraud Detection AnalyticsYou don t need a six-month roadmap to start using AI for fraud detection. You need a clear assessment of what you can deploy, what it ll cost, and whether your existing systems can handle it. This che
Fraud Detection AnalyticsA joint study from the Bank for International Settlements and the Bank of England tested AI fraud detection against real-time payment data from millions of accounts. The findings confirm what many fra
Fraud Detection AnalyticsNearly 75% of Canadian banks are deploying AI for fraud detection , but the real question isn t whether to adopt AI, it s how to structure your implementation. You re facing a decision that will shape
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Fraud Detection AnalyticsBlock s $45 million settlement with 46 US states over Cash App s fraud prevention failures highlights more than just a compliance issue. It s a recurring pattern in peer-to-peer payment platforms: tea
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
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 AnalyticsImagine you re in a fraud operations meeting when someone suggests, What if we could see when the same synthetic identity opens accounts at three other banks in the same week? The room goes silent. Ev
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 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 Detection AnalyticsWhen a payment exception system starts auto-approving transactions without human review, or when a fraud model flags legitimate corporate payroll as suspicious, the problem usually isn t the algorithm
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
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
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
