May 4 · 7 min read · When 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...
Join discussionMay 4 · 6 min read · Transforming 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...
Join discussionMay 4 · 5 min read · The 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...
Join discussionMar 9 · 7 min read · Should 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...
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Mar 4 · 10 min read · How 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...
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Feb 18 · 5 min read · If 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 ...
Join discussionFeb 16 · 5 min read · In an era where technology evolves faster than our ability to perceive it, the phrase "seeing is believing" has become a relic of the past. As Artificial Intelligence (AI) becomes more integrated into our daily lives, a darker side of this innovation...
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