DataVisor

By 8/1 Target will no longer accept checks as payment due to “extremely low volumes.” That’s a sign of two things: 1) we know checks are still fading fast as a payment choice for many points of sale, and 2) retailers can effectively eliminate check fraud scams by simply not accepting the payment. Target’s move is a wise one to eliminate a fraud threat without impacting customer experience in a significant way. 👉 https://lnkd.in/gtVM6uXZ #checkfraud #fraud #fraudtech #fraudstrategy #bankingfraud

📣 One week to go! We are already halfway through 2024. This year many of the discussions in the fraud prevention space have centered around a few topics: the rise of AI-driven fraud attacks, ways to tackle first-party fraud, and how to best understand and leverage the role of data consortiums in fraud. Join us in our upcoming DEFEND webinar and hear our panel of experts discuss these topics and fraud prevention strategies to level up your defense. 🛡️ DEFEND Webinar Mid-Year Review: Strategies Against Emerging Fraud Threats 📅Date: Jul 24, 2024 ⏰Time: 11am PT/ 2pm ET Register here 👉 https://lnkd.in/eczffnuF

As fraud fighters, we need to be aware of every emerging threat. But this year has shown some attack vectors are becoming outsized risks compared to others. What do you see as the biggest fraud threat on the horizon? #fraudtech #fraudstrategy #bankingfraud #ai #artificialintelligence #fraudprevention #machinelearning

Stolen identities are an expensive problem for victims and FIs alike. Just how expensive? According to Intellicheck CEO Bryan Lewis, his company prevented more than $400 million of potential loss through fake ID transactions. His discussion with PYMNTS says what many fraud leaders are already thinking—synthetic IDs are a major problem, and FIs need to prioritize detecting and mitigating account openings with fake information. https://lnkd.in/e_rJ9fJU #fraudtech #fraudstrategy #bankingfraud #fraudprevention

🛡 DEFEND: Mid-Year Review In 2024, fraud prevention discussions have centered around three big topics: AI-driven fraud attacks, first-party fraud, and the role of data consortiums. In our upcoming DEFEND webinar, hear fraud industry leaders discuss each and dive deep into their implications on the future of fraud prevention. 📌 DEFEND Webinar: Mid-Year Review: Strategies Against Emerging Fraud Threats 📅 Date: July 24th, 2024 ⏰ Time: 11am PT Don't miss out! Register now 👉 https://lnkd.in/eczffnuF Looking forward to seeing you there!

Today’s digital financial frauds require modern digital fraud solutions. Ones that not only meet the level of technology used by fraudsters but give fraud teams the upper hand. Device intelligence is one of those tools, and it’s a critical part of any dependable fraud solution. There are a few key things device intelligence does that make it indispensable for fraud fighters: 🔍 Device intelligence reveals emulators, bot scripts, botnets, cloners, and manipulated devices. The presence of any of these is a sure sign of a fraudster at work. 🏁 Device intelligence works from the start of the customer journey, helping thwart account creation fraud by revealing synthetic IDs and suspicious accounts. It remains a valuable tool in finding other frauds throughout the customer lifecycle too. ⏱️ Device intelligence can work in real time and adapt to fraud patterns when powered by AI. Leading device intelligence solutions also scale and work flexibly to handle growing volumes of data. Choosing a device intelligence solution comes down to factoring in accuracy and precision, scalability, and integration capabilities among other factors. But the fact remains, fraud teams that don’t already have device intelligence need to prioritize implementing it to stay on par with modern fraud attacks. #ai #artificialintelligence #fraudprevention #machinelearning #deviceintelligence

According to National Credit Union Administration data, the credit union system’s net worth increased by $13.3 billion in just one year. Credit unions are growing at a faster rate than nearly any time in recent history. Just like any FI, more growth comes with more fraud attacks. Here are 5 ways credit unions can grow without increasing fraud. 👉 https://lnkd.in/eq7Akm8J

How do you trust something you can’t see—or even explain? That’s the conundrum facing many users of leading machine learning solutions that use a black box model. But while there is some bias in the space that black box works better, are we sure that’s really the case? DataVisor CEO Yinglian Xie explores that question in her Forbes article and shared her take. 👉 https://lnkd.in/ee_4iSAT #forbesfriday #ai #artificialintelligence #fraudprevention #machinelearning

Many factors come into play when building or selecting a fraud solution. How do you prioritize when it comes to your platform? #ai #artificialintelligence #fraudprevention #machinelearning

Featured Innovator Fang Yu, Co-founder and CPO of DataVisor, Inc., shares insights on the crucial role of implementing necessary friction in customer experience. Learn more from other featured Innovators: https://lnkd.in/ebB8KtWN #CustomerExperience #FraudDetection #AI #Fintech #MitekInnovators