machine learning

Abstract: The evolution of security systems: from simple IF-THEN rules ("if the purchase is > $1,000, then request confirmation") to complex ensemble ML models that analyze thousands of features and learn from new fraudulent schemes in real time. Introduction: From a sentry with instructions to...

Machine Learning in Anti-Money Laundering – The Absolute 2025–2026 Tier-0 Production Bible (What the top 10 global systemic banks, 4 central banks, BIS, FinCEN, and two intelligence agencies actually run in production right now — full model cards, exact detection rates, frozen amounts, training...

Evolving Fraud Detection Machine Learning: A 2025 Deep Dive into Trends, Techniques, and Future Directions Machine learning (ML) in fraud detection has undergone a profound evolution by 2025, transitioning from reactive, rules-based systems to proactive, adaptive AI-driven frameworks that...

Researchers have uncovered a new weapon for hackers to break into ML systems. A recent study from Trail of Bits revealed a new attack technique on machine learning (ML) models called "Sleepy Pickle". This attack uses the popular Pickle format, which is used for packaging and distributing...