Credit Card Fraud Detection
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...
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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...
BackgroundAccording to the Communications Fraud Control Association's 2025 survey...
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 »
Building an XGBoost fraud detection system with feature engineering, threshold optimization, SHAP explainability, batch inference…Continue reading on Medium »
A payment can move between accounts before a person has time to review it. Real-time AI fraud detection helps financial institutions assess transactions as they arrive, using patte...
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...
Cifas recorded 220,041 fraud-risk cases in the first half of 2026, just 1% up on the same period las...
Rules, ML scoring, streams, graphs and hybrid controls solve different fraud problems. The wrong fit fails before model accuracy matters.Continue reading on Medium »
The U.S. department has increased its scrutiny of payments using new sources of data in an attempt to stem past ‘pay and chase’ patterns.
Built for the TigerGraph Agentic Fraud Investigation challenge (Hacker House Goa, 2026)Continue reading on Medium »
What if we stopped thinking about fraud as simply a criminal problem and started thinking about it as a quality problem?
Fraud used to leave clues: a new device, an unusual IP, a login from somewhere the customer had neve...
A new report highlights the vast growth in fraudulent candidates, presenting significant insider threat challenges to organizations
SEON has expanded its fraud detection platform to more than 1,100 data signals to help uncover fake identities and linked fraudulent accounts. The Signal Intelligence update increa...
The fraud detection technologies used in insurance claims today center on AI-driven pattern scoring, multimodal AI for images and documents, network and social-graph analysis, natu...
The fraud risk the industry is least equipped to handle, and the payments reality most people in insurance have wrong
Fraud has always affected businesses. However, the way teams respond to it has changed. A few years ago, many organizations relied heavily on manual checks, rigid rules, and invest...
AI fraud detection now hinges on data quality, not model sophistication, because fragmented data drives false positives that erode client trust.
The U.S. Department of Justice recently launched a prosecutor-led, multi-agency team designed to investigate those defrauding federal government programs, including individuals ove...
Author: A finextra community member
Digital commerce faces a quiet but expensive operational crisis. Global card-not-present fraud losse...
Author: A finextra community member
With so much concern over scams in peer-to-peer payments, Visa is introducing an upgraded version of its fraud prevention system that aims to catch criminal transactions in real ti...
Fraudsters rarely operate within the boundaries of a single agency or jurisdiction, but the information needed to stop them often does. The new National Fraud Enforcement Division...
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