Artificial Intelligence, Authentic Risk: Ai-Powered Threats to Soar, Warn Anti-Fraud Professionals

Why It Matters

AI‑driven fraud threatens the integrity and financial stability of multiple sectors, prompting a rapid shift toward advanced analytics and real‑time identity verification to protect billions of dollars and maintain public trust. The survey’s alarm signals that without heightened awareness and technology adoption, organizations risk escalating losses and eroding confidence in digital services.

Summary

A new cross‑industry survey by the Association of Certified Fraud Examiners (ACFE) and SAS reveals that 77 % of anti‑fraud professionals have seen a surge in deep‑fake social‑engineering attacks over the past two years, and 83 % expect a 28‑55 % rise in such schemes within the next two years. The findings, released ahead of International Fraud Awareness Week 2025, preview the fourth Anti‑Fraud Technology Benchmarking Report due March 2026 and underscore AI’s role in accelerating fraud across banking, public‑sector benefits, insurance and other domains. SAS‑backed deployments – from Norway’s BankID integrating real‑time identity signals, to Ajman Bank’s machine‑learning‑driven transaction monitoring, DB Insurance’s network‑analytics fraud detection in Korea, and a U.S. state’s SNAP payment‑integrity model – have already cut false positives, halved investigation times and boosted detection accuracy to 99 %. The ACFE and SAS will host a webinar on Nov. 17 to share best practices and tools for combating AI‑powered fraud.