Category: AI fraud detection

Key developments: The latest wave of fraud‑detection platforms is no longer limited to assigning risk scores to transactions. New AI agents ingest alerts directly from monitoring systems, gather evidence, reason through it, and issue a disposition just like…

Key developments: Researchers have introduced VR‑FraudNet, a framework that forces large language models (LLMs) to generate only structured, machine‑checkable fraud explanations, which are then vetted by a fixed, non‑trainable deterministic verifier. The verifier checks each claim against transaction…

Recent developments show AI moving from simple alert‑scoring to full‑scale investigative assistance. New platforms such as Feedzai’s Farol AI agent embed directly in risk‑operations suites, allowing automated evidence gathering and disposition recommendations that mimic human analysts. At the…