Explore how data science transforms blockchain analysis, enhancing crypto security, scalability, and market insights.
Using machine learning to detect problem gambling and fraudIssued by Reinart NienaberJohannesburg, 27 Oct 2025 Betting companies train machine learning programs to monitor players’ behaviour. AI ...
The paper concludes that Precision and Recall must be the minimum reporting standard, and confusion matrices should always ...
According to the authors, this evolution marks a clear transition from traditional rule-based security toward data-driven, ...
A new framework integrates graph databases with real-time machine learning to enhance fraud detection and risk control in digital finance. By ...
AI tools can generate receipts that are indistinguishable from authentic ones, complete with accurate logos, barcodes and ...
Learn how blockchain and AI are merging to build intelligent, self-sustaining crypto networks that redefine trust and ...
Online fraud is evolving fast. In 2025, scammers are using AI to create synthetic identities, deepfakes, and automated phishing attacks that bypass traditional security systems. According to UK ...
A Florida man accused of defrauding the Arizona Department of Education by applying for empowerment scholarship account money for made-up children has since been indicted on multiple felony counts, ...
ECB turns to AI startup for fraud detection for digital euro The European Central Bank (ECB) has selected Portugal-based startup Feedzai to provide fraud detection and prevention for its digital euro.
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