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BackgroundAccording to the Communications Fraud Control Association's 2025 survey...
What 284,807 Credit Card Transactions Taught Me About Fraud (And About Trusting My Own Charts) I've been building a data analytics portfolio that combines my finance and accounti...
Most fraud detection tutorials stop at “train a model and print the accuracy.” That’s the easy 10%. The other 90% — the part that decides…Continue reading on Medium »
Rules, ML scoring, streams, graphs and hybrid controls solve different fraud problems. The wrong fit fails before model accuracy matters.Continue reading on Medium »
Cifas recorded 220,041 fraud-risk cases in the first half of 2026, just 1% up on the same period las...
What if we stopped thinking about fraud as simply a criminal problem and started thinking about it as a quality problem?
Built for the TigerGraph Agentic Fraud Investigation challenge (Hacker House Goa, 2026)Continue reading on Medium »
Building an XGBoost fraud detection system with feature engineering, threshold optimization, SHAP explainability, batch inference…Continue reading on Medium »
The fraud risk the industry is least equipped to handle, and the payments reality most people in insurance have wrong
The email said "fraud alert." The fraud was the email itself
Get to know the signs of this new form of scam that combines real and fake information to create a whole new identity. The post Synthetic identity fraud: The scam that’s fooling le...
Fraud used to leave clues: a new device, an unusual IP, a login from somewhere the customer had neve...
Model validation frameworks are built to catch a model that is wrong. Almost none are built to catc
A fraud ring activates at 11 PM. Your detection model starts missing transactions it would have caught three months ago. By Wednesday morning, your monitoring dashboard is red. The...
Finance leaders who haven't yet updated their mental model of what fraud looks like in 2026 are operating with a set of assumptions that no longer holds.
Imagine your model predicts 10 bps, but your scheme invoice shows 13. Where did those extra three ba...
UK Finance data puts total payment fraud losses at £1.28bn, up 4% year on year, with APP fraud alone...
Five fraud patterns are costing Indian investors thousands of crores every year. Here is how each one works, and a checklist every investor should keep close.
Learn how Snowflake ML powers real-time fraud detection with the Online Feature Store (now GA), low-latency model serving and integrated MLOps — all on a single, secure platform. S...
Interesting paper: Abstract: With entrepreneurial fraud cases on the rise, we investigate how entrepreneurs carry out criminal deception, employing deceptive means to defraud audie...
AI fraud detection now hinges on data quality, not model sophistication, because fragmented data drives false positives that erode client trust.
A new report highlights the vast growth in fraudulent candidates, presenting significant insider threat challenges to organizations
Prediction-market giant Polymarket was reportedly hit by a sprawling fraud scheme that saw criminals attempt to funnel at least $10 million through its U.S. platform.
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