In this article, we explore how agentic AI is revolutionizing fraud detection in the financial sector by combining real-time monitoring, multi-agent coordination, and dynamic threat analysis. We’ll also look at specific use cases and the challenges financial institutions need to address when implementing this advanced technology.

In this article, we explore the technical applications and real-world impact of agentic AI in banking, covering use cases such as fraud detection, personalized financial advising, and credit scoring. We will also outline the challenges associated with agentic AI, including trust calibration and regulatory compliance, and how Intelligent Core™ can help financial institutions harness the full potential of this technology.t all begins with an idea.

Agentic AI systems can think, decide, and act on their own. These systems leverage advanced models, such as generative AI and reinforcement learning, to develop autonomy, make decisions toward specific objectives, and continuously learn from their environment​​.