Our Scans · (FS.7.01) Fraud · Weekly Summary

• [New] Deepfake-related fraud could cost the US economy $40 billion by 2027. Security Journal UK
• [New] By 2026, we will see a clear convergence: fraud feeds on identity (real or synthetic), and AML/KYC compliance requires identity and behavioral signals to distinguish legitimate activity from criminal patterns. Facephi - EN
• [New] Major banks and hedge funds are actively piloting quantum-enhanced risk engines, Monte Carlo simulations, and real-time fraud detection systems on cloud platforms like IBM Quantum, Azure Quantum, and AWS Braket. openpr
• [New] The Minnesota fraud scandal has already led to 95 indictments and could exceed $9 billion, with evidence of similar welfare fraud emerging in New York, California, Illinois, and Colorado. Citizens Against Government Waste
• [New] Losses from generative AI-enabled fraud are expected to reach $40 billion by 2027. FinExtra
• [New] Synthetic identities could rival card-not-present fraud within two years. AI CERTs News
• [New] Global fraud losses across payments, banking, and ecommerce will reach $362 billion between 2023 and 2027. AI CERTs News
• The losses from GenAI fraud are expected to hit $40 billion by 2027 according to the Deloitte Center for Financial Services. JD Supra
• As robocalls, robotexts and AI-generated fraud escalate, 2026 will demand more stringent enforcement, an increased emphasis on IP connectivity and a greater focus on validating AI tools meant to defend the ecosystem. Telecom Ramblings
• Over a third of UK businesses reported being targeted by AI-related fraud, and the capabilities of fraudsters will only continue to grow. FCA
• Roughly 40% of banks and 50% of credit unions experienced higher fraud-related losses in 2025, and most expect losses to increase again in 2026. Cision PR Newswire
• The upcoming EU Payment Services Regulation, expected to enter into force in early 2028, will strengthen anti-fraud measures and require payment service providers to boost transaction monitoring and share fraud-related data. FinExtra
• Autonomous finance, AI-powered fraud prevention, and usage-based billing will gain momentum in 2026, giving businesses faster, more secure money movements and clearer financial data. Airwallex
• Fraud becomes the top threat: Fraudulent or AI-assisted candidates are now the #1 anticipated hiring challenge in 2026, surpassing lack of qualified talent. Yahoo Finance
• In 2026's edition, it shows that cyber fraud displaced ransomware as the main concern of CEOs in 2026, while AI is emerging as the main driver of change in cybersecurity; furthermore, a critical regional talent and trust gap persists that increases systemic risk. Mexico Business

Last updated: 10 February 2026