Agentic AI is reshaping the future of fraud risk

Agentic AI is transforming fraud prevention and detection, according to Amazon Nova senior software development engineer Rohith Nama, who shares how he balances innovation with building safe, ethical large‑scale AI systems.

Agentic artificial intelligence (AI) is rapidly taking AI from a passive tool for prompts to systems that can plan, act and make decisions. This shift raises urgent questions, especially in risk and compliance enterprises, about reliability, control and what responsible deployment should look like.

To explore those questions, I interviewed Rohith Nama, a generative artificial intelligence (Gen AI) engineer and researcher for Amazon’s Nova frontier models. Nama focuses on what happens after an AI model is trained, deployed and expected to behave safely, predictably and usefully. His work spans inference‑time tooling (what occurs between the user’s prompt and the AI model’s response), observability, safety controls and benchmarking agentic behavior — areas that determine whether advanced AI systems can be trusted with complex workflows.