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 ...

Blockchain forensics tools have recovered an estimated $34 billion and are used by 45+ regulators as detection has genuinely improved. Yet 2025 crypto scam losses hit roughly $17 billion, with ...

By combining high-tech chemical scanning tech with advanced machine learning, the system can detect the adulteration of food ...

Dublin, July 03, 2026 (GLOBE NEWSWIRE) -- The "Agentic AI in Fraud Detection and Prevention Market Report 2026" has been added to ResearchAndMarkets.com's offering. The agentic artificial intelligence ...

The IRS has fundamentally changed how it enforces tax compliance. As of June 2025, the agency operates 126 active AI use cases, up from just 10 in August 2022, spanning audit sele ...

Key opportunities in the AI fraud management market include leveraging advancements in machine learning and cloud technology for fraud prevention, capitalizing on the growth of digital payments and ...

Retailers are implementing AI through software companies like Happy Returns and Narvar to detect return fraud and issue ...

While Generative AI has improved employee productivity through intelligent assistants and copilots, the next phase of enterprise AI is Agentic AI—autonomous systems capable of reasoning, planning, and ...

Government agencies face increasingly sophisticated security challenges in a world driven by digital transformation.

Widely available AI is making payment fraud easier to perpetrate and harder to detect, raising the stakes for controls, ...

Company Adds 39 New Global Patents to Enrich New Product Innovation and Deepen Leadership in Explainable AI ...