NICE Actimize’s Post

Attending Nacha Smarter Faster Payments 2024? Stop by booth 538 to speak with our team about the latest and greatest in payments fraud detection and prevention. It’s not magic, but we do have magic in our booth you won’t want to miss! #nacha #smarterpayments #payments2024

Fraudulent transactions can significantly impact your business; however, Virtual Pay ensures you’re safe. Our payment gateway features robust fraud detection tools that continuously monitor and analyze transactions to detect and prevent fraud. By choosing us, you can mitigate the risk of fraud and maintain a secure, trustworthy payment process. #VirtualPay #FraudPrevention #SecurePayments Contact Us 📞 +23059406045 📧 fraudreporting@virtual-pay.io 🌐www.virtual-pay.io

Protecting consumers from fraud is always a top priority for financial institutions and The Clearing House, especially as payments evolve and migrate to #instantpayments. While fraud is extremely low on the fast growing RTP® network, it is important to focus on best practices and technologies, such as #tokenization, to keep fraudsters at bay. At the Nacha Faster Smarter #Payments2024 conference next week, drop by to hear Jeff Williams, James Colassano, Stephen Krebs and Rusiru Gunasena share their expertise on fraud prevention and mitigation!

Day 1 of Nacha Smarter Faster Payments is coming to an end. If you haven’t had a chance yet, swing by booth 548 to talk with one of our check fraud experts! They can show you how we help financial institutions quickly detect, analyze, and stop incoming check fraud. #checkfraud #smarterfasterpaymemts24 Derek Abbott Patrick Cross Angel Rubet CAMS

🚀 It's #PSR Day, and we're ready to tackle the challenges head-on! 🚀 Today, the Payment Systems Regulator Law comes into effect, protecting victims of APP fraud. The law has a significant impact on Payment Service Providers, particularly on Fraud Prevention teams. Over the past weeks, we've shared insights from our customers, partners, and ourselves, discussing the evolving landscape of financial regulations and the strategies needed to stay compliant and secure. In our latest Fusion Fireside Chat, Chris Bone dives deep into the latest financial security trends. From evolving fraud tactics to the future of digital banking security, this conversation is packed with insights you won’t want to miss! 📈🔍 All of us at ThreatFabric wish you a happy PSR Day! #ReadyForPSR 👉 Check out the full blog post and Fusion Fireside Chat here: https://hubs.ly/Q02SjRrX0 https://hubs.ly/Q02SjVzV0 #ReadyForPSR #ThreatFabric #FusionFireside #PaymentsSecurity #RegTech #FinancialSecurity #PSR2024 #Compliance #FinCrimePrevention

Strengthen your agent banking security Agent banking commission fraud occurs when agents collude to loop transactions for illicit gains – round tripping. Using graph algorithms, CEP rules and / or queries our graph intelligence platform detects the cyclical patterns of these fraudulent activities. Once flagged, you can investigate and mitigate against fraud loss. Make it easier to detect and prevent round tripping fraud, contact freddie@locstat.co.za today. Locstat: Solve so much more #AgentBankingFraud #FraudPrevention #GraphIntelligence #Innovation

🔍 Curious about the liability shift for fraud losses? Our latest whitepaper, "The Liability Shift: Understanding Fraud Losses Responsibility and Mitigation," delves deep into this crucial topic amid the rise of sophisticated online fraud. Discover insights on: 📈 The global surge in online fraud impacting the financial sector 🏦 Strategies for banks to mitigate fraud, maintain customer trust, and ensure seamless experiences 👩💻 The role of cutting-edge technologies like ThreatMark’s behavioral intelligence in combating challenging fraud types such as APP scams. Stay ahead in the fight against online fraud with this must-read white paper! Send me a direct message for a copy or download using the link in comments 👇 #liabilityshift #fraud #technology #banking

👊 1 day left 👊 Stopping scams isn't just about focusing on the point of payment. We'll dive into interdicting in the customer journey, slowing payments down for 72 hours, the propensity for first party fraud when victims get reimbursed, and more!! Fortunate to have some of the best in the biz the tackle a loaded topic 🧠 #Fraud #AboutFraud #AboutPracticalScamKnowledge https://lnkd.in/eEATP-2h

Authentication and identification are top of mind for payments professionals battling fraud these days. We’ve made progress over the past two decades in managing payments risk in the digital era, but fraud continues to evolve and often seems to be one or several steps ahead. The classic cat-and-mouse game has moved to a point where “Are you really you?” and “Should you have access to this account?” are the questions that are both increasingly critical and elusive to answer. In this episode with Ori Eisen, CEO and Founder of Trusona, we reflect on what the payments industry has gotten right, the current challenges, and the future of authentication and identity. And, to pay attention to the here and now, we asked Ori to share his best practice tips for implementing passkeys. 🎧 Listen here: https://lnkd.in/gT6Hc83A #passkeys #fraud #riskmanagement #authentication #identity #digitalpayments #GenAI #passwordless #payments

The growing complexity and number of mobile money transactions make it difficult to detect split-agent deposit fraud. Due to their inability to efficiently identify the complex patterns among the large amounts of data, traditional statistical and data mining techniques frequently produce significant false positive rates. To maximize profits, agents engage in this type of fraud, which is common in flat rate and staggered commission structures. As a result, banks and telecom companies suffer financial losses. To tackle this problem, fraud detection systems examine transaction data, which is frequently large and includes a variety of details such as the sender, recipient, amount, account number, and date of the transaction. Read my medium post below to findout how using Synthetic Data using the MoMTSim toolkit and #ML models can help to solve this fraud scenario in mobile money. #mobilemoney #fraud. #machinelearning #datascience