Hhimanshupant415ininnostaxsoftware.hashnode.dev·1d ago · 8 min readDigital Fingerprinting in 2026: How It Actually Stops Fraud (And Why We Had to Build Our Own)Short answer: digital fingerprinting ties a unique ID to a device — not a cookie, not a session token, not a login — and in fraud-heavy environments, that's the distinction that makes it worth the eff00
VVerafyeinverafye.hashnode.dev·May 25 · 6 min read3 signs you might be a high target for fraudstersA fraud head at a regional bank once told me something that stuck: "We caught it on day 47. The account had been clean for 46 days." He wasn't talking about a hacked account or a phishing victim. He w00
EHEdith Herouxintechnicalaime.hashnode.dev·May 4 · 7 min readFraud Prevention Automation Case Study: 65% False Positive ReductionWhen I joined the fraud operations team at a mid-sized retail bank processing 15 million transactions monthly, we were drowning. Our transaction monitoring system generated 12,000 alerts weekly, requiring manual analyst review for each one. With a te...00
JDJamie Dornanintechworldai.hashnode.dev·May 4 · 6 min readImplementing Fraud Prevention Automation: A Practical GuideTransforming fraud operations through automation can feel overwhelming, especially when you're starting from a position where analysts manually review every alert and case management happens in spreadsheets. Having led multiple implementations across...00
CDCheryl D Mahaffeyintechnoai.hashnode.dev·May 4 · 5 min readUnderstanding Fraud Prevention Automation in Modern Retail BankingThe retail banking landscape faces an unprecedented surge in sophisticated fraud schemes, from synthetic identity fraud to account takeover attempts that bypass traditional security controls. As institutions like JPMorgan Chase and Bank of America pr...00
SMScott McMahaninaitransformeronline.hashnode.dev·Apr 9 · 1 min readIdentity Is Becoming the Main TargetSecurity teams used to focus on defending networks, endpoints, and applications. Now the pressure is shifting to identity. Attackers are using deepfakes, synthetic identities, credential abuse, and ac00
IRIurii Roguliainhtpbe.hashnode.dev·Apr 9 · 10 min read5 Signs a PDF Document Has Been Tampered WithPDF documents are everywhere in business — invoices, contracts, certificates, reports. We trust them because they look official and professional. But that trust can be misplaced. Document tampering is00
ATAPIVerve Teaminapiverve.hashnode.dev·Mar 9 · 7 min readHow to Detect VPN and Proxy UsersShould you block a user just because they're on a VPN? Probably not. But should you ignore it entirely? Also no. VPNs create a real paradox: privacy-conscious users and fraudsters look identical at the network level. Both show up as traffic from an I...00
ATAPIVerve Teaminapiverve.hashnode.dev·Mar 4 · 10 min readPreventing Fake Signups: Registration Fraud GuideHow many of your signups are real? Signup forms are targets. Every exposed registration form attracts automated bots, fraudsters creating fake accounts, competitors scraping behind login walls, and users abusing free trials with throwaway credentials...00
BBBahati Brenda Kizitoingodfident-data.hashnode.dev·Feb 18 · 5 min readTraining a Model to Catch Fraud (And It Humbled Me) - Lessons from Building a Real Fraud Detection SystemIf you’ve ever built a machine learning project that worked beautifully on your laptop but humbled you in production… welcome to my life 😭 Today I’m sharing my journey building CreditWise AI — my credit card fraud detection project — and everything ...00
