Implementing Effective Document Fraud Detection in C#
Document fraud is a persistent problem across a range of industries, and the attack surface is much wider than most organizations want to admit. Enterprises that accept uploaded do...
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Document fraud is a persistent problem across a range of industries, and the attack surface is much wider than most organizations want to admit. Enterprises that accept uploaded do...
In 2025, more than 444,000 fraud cases were recorded on the National Fraud Database, the highest an...
The global cost of fraud is now estimated at over $5 trillion. In the APAC region, attack rates are ...
Fraud is becoming more sophisticated—and more costly. This ultimate guide to fraud detection breaks down common schemes, warning signs, and proven strategies to help organizations...
From Session Logs to Graph Intelligence, Anomaly Detection, and Real-Time Risk ScoringContinue reading on Medium »
Curious how fraud detection works in an analytics workflow? In this live webinar, you will work through a credit card fraud detection use case step by step. You will see how transa...
Fraud in Data returns with new insights on global fraud risks, social engineering, crypto hacks, and how AI is reshaping modern threats.
Leading carriers are moving fraud detection upstream. Learn the three steps to spotting it early
A consumer reviews their credit card statement, notices a fraudulent charge, and initiates a dispute. Ideally, the issuer or merchant would have flagged the transaction before it r...
There has been little respite from the relentless onslaught of fraud in recent years—and there are few signs of it slowing down. The FBI’s annual Internet Crime Report found that A...
Payments players are tapping artificial intelligence to beat back fraud bolstered by AI, and Congress may provide an assist.
Ballerine, the AI-native merchant risk and compliance platform, goes live with a new agentic detection solution, Scam & Fraud API Detection, that identifies high-risk merchants...
Insurance fraud continues to rise globally, costing insurers billions of dollars every year. Traditional fraud detection methods often rely on investigating claims after they are s...
[New Report] Fraud in the Age of AI: Trends, Threats, and Management Tactics
Analyzing Salesforce Event Monitoring to detect deviations from usual user and non-human behavior.
Commonwealth Bank of Australia has deployed an agentic AI system designed to help detect emerging fraud and scam patterns in transaction and payments data and generate the rules ne...
Behind the staggering $27.3 billion in identity fraud losses in 2025 are 18 million victims navigating a rapidly evolving threat landscape. New-account fraud and account takeovers...
Not long ago, fraud teams could keep pace by reviewing incidents one by one. That era is ending. Armed with artificial intelligence and cloud-scale infrastructure, today’s cybercri...
Banks process millions of transactions daily, yet traditional AML systems struggle to detect complex financial crime patterns. Despite rising investments, outdated systems and manu...
How First-Party Fraud Quietly Became One of the Biggest Threats in Digital Commerce. Introduction A ...
New data highlights surge in scams while firms urged to strengthen internal defenses
Learn more about the implementation that helped automatically verify transactions for AML.
The Infrastructure Problem Financial crime does not fail because criminals are careless. It fails be...
How synthetic identities, deepfakes, and generative AI are forcing banks to rethink fraud prevention...
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