Abstract: Machine Learning (ML) algorithms are robust in addressing complex challenges, such as detecting financial fraud in real-world scenarios. This research highlights the significance of ML ...

Abstract: As social media platforms continue to evolve, so do the methods and complexity of fraud schemes and anomalous users. Traditional anomaly or fraud detection techniques focus primarily on ...

Bybit’s new AI-driven risk framework intercepted $300 million in fraudulent withdrawals in Q4 2025, protecting 4,000 users. Summary is AI generated, newsroom reviewed. Bybit’s AI system intercepts ...