Featurespace

We'll be joining TSYS at Money20/20 in Vegas to tackle the friction paradox 🎰 Too little security? Fraudsters walk right in. Too much? Your customers walk out. Dave Excell will join Kelley C. Knutson and Kasey Boyd from TSYS to dig into how AI-driven authentication is changing the game - introducing just enough friction to stop the bad actors without derailing the customer experience. What we're covering: → The evolution of authentication in payments fraud → How biometrics and AI create smarter defenses → Finding the sweet spot between protection and convenience Join us for breakfast and leave with a clearer picture of where authentication is heading. https://bit.ly/4oBk2jb

ICYMI: The fraud defense blind spot banks can't afford 🔍 Fraudsters don't pick favorites between payment types, so why are we still defending them separately? Jason Blackhurst breaks down why holistic fraud prevention isn't optional anymore: it's existential. One stat that landed: 54% of scam victims consider switching providers after fraud. For smaller institutions, one attack can be terminal. The solution? Stop treating fraud as a cost of doing business and start treating it like the board-level threat it's become. Full article in the Financial Times: https://lnkd.in/eKk8wK2D

What does check fraud actually look like? Not obvious red flags. Subtle deviations from normal behavior. A slightly altered payee name. Check deposits at unusual hours. Withdrawal patterns that don't match a customer's history. MICR numbers that are almost right. The key to catching these? Understanding what 'normal' looks like for each customer. Featurespace's adaptive behavioral analytics builds a unique baseline of expected behavior so when something abnormal happens, we catch it in real-time. Request a demo: https://lnkd.in/ewx_x3r7

In case you missed it: The Scam Detectors podcast is back for Season 2 🎧 This season kicks off with something different: a LIVE episode filmed at our Customer Forum in September. Jane Wakefield sits down with Steve Goddard, Becky Holmes, and Suzanne Lynch for a conversation that gets to the heart of what fraud professionals are grappling with right now. The discussion covers: What's actually keeping practitioners up at night Scams vs. fraud: why the distinction matters Tactical approaches to better equip your defenses Actionable guidance for both consumers and institutions Listen now: https://lnkd.in/emJbN_Hz

Fraudsters don't care which door they use to break in. Why should your defense strategy? New think piece from Jason Blackhurst, SVP at Visa and Head of Featurespace in the Financial Times explores how financial institutions are fighting fraud one payment type at a time. Criminals are simply looking for the easiest way in. What's the solution? A 360-degree view. AI that learns what "good" looks like across payment methods for each customer. Not rules-based detection that's always playing catch-up. Not siloed systems that leave gaps. Adaptive intelligence that spots the out-of-character transaction in real-time...in 24 seconds, not 10 minutes. Read Jason's full piece on why holistic fraud prevention isn't optional anymore: https://lnkd.in/eKk8wK2D

Every transaction leaves behavioral footprints. Are you following the right tracks? 🐾 Check fraud has doubled in just three years, but the most dangerous attempts don't look suspicious at all. They look perfectly normal - same signature, same account, same format. The difference isn't in the check itself. It's in the behavior. ARIC for Check Fraud achieves a proven 90% capture rate. The check might be perfect, but the behavior tells the real story. Ready to spot when your customers act out of character? Book your demo: https://lnkd.in/ewx_x3r7

Visa is #2 on Fortune’s AIQ 50 list 🦾 We're proud to celebrate this recognition alongside our Visa colleagues. From using AI to combat fraud since 1993 to building the next wave of agentic commerce, Visa's approach has always been about trust, scale and impact. At Featurespace, we've been contributing to that mission with AI-powered behavioral analytics that make payments safer without creating friction for legitimate customers. We detect fraud in real-time by learning what "good" looks like for each customer, then catching the anomalies before they cause damage. As Rajat Taneja, Visa's President of Technology, said: "AI is part of the fabric of the company." That fabric includes building smarter, safer payments systems that work across networks, borders, and industries.  Congratulations to the entire Visa team on this well-deserved recognition! Read more about Visa's AI journey: https://vi.sa/4q0nghu

ICYMI: Dave Excell's The Wall Street Journal Street Journal piece on the staggering scale of financial crime 📰 The reality: $12.5 billion lost to fraud in the US alone in 2024 - equivalent to 441 Lufthansa Heists 🚁💰 Key insight: "Trust is currency" - every scam erodes the foundation that makes commerce possible. While criminals use AI for deepfakes and automation, we're fighting back with behavioral analytics that understands what "good" transactions look like, not just "bad" ones Our TallierLTM demonstrates up to 71% improvement in fraud detection over industry standards. Read the full WSJ analysis: https://lnkd.in/e6_ACkcS

🚀 Thredd launches One View. In collaboration with Featurespace, a Visa Solution, we are bringing together Thredd’s next-generation processing technology with Featurespace’s AI-driven fraud expertise to deliver a first-of-its-kind solution that unites card and non-card payments under one interface.
 
 One View gives fraud teams a smarter, single view of customer activity across cards, A2A and P2P payments – enabling faster detection, fewer false positives and less manual monitoring. Learn more: https://bit.ly/3WsBryh