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

• [New] The losses from GenAI fraud are expected to hit $40 billion by 2027 according to the Deloitte Center for Financial Services. JD Supra
• [New] 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
• [New] Over a third of UK businesses reported being targeted by AI-related fraud, and the capabilities of fraudsters will only continue to grow. FCA
• [New] 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
• [New] 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
• [New] 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
• [New] 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
• [New] 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
• [New] With enhanced global information exchange, Budget 2026 presents an opportunity to introduce a structured, time-bound voluntary disclosure mechanism with proportionate civil consequences, reserving prosecution for cases of wilful evasion or fraud. The Indian Express
• [New] By the end of 2026, AI will be widely embedded across MGA workflows, particularly in automated underwriting and risk assessment, claims processing, fraud detection, predictive risk analytics, dynamic pricing, and customer service agents and chatbots. Vertafore
• [New] Deloitte forecasts U.S. fraud losses could triple to $40 billion by 2027 due to generative AI scams. Anaptyss Inc.
• [New] AI-native malware, deepfake fraud and automated attacks on connected devices will pose major risks for businesses in 2026, as governments tighten rules on artificial intelligence and data protection. IT Brief UK
• [New] In 2026, AI-driven impersonation will become the dominant fraud vector. SC Media
• [New] Cyber-enabled fraud has overtaken ransomware as CEOs' top cyber concern, as AI-related vulnerabilities rise and resilience gaps widen across regions and organizations. StrategicRISK Global
• [New] Deloitte estimates $40 billion in US fraud losses from generative AI by 2027. National Law Review
• [New] Generative AI is expected to supercharge online scams and impersonation attacks in 2026, pushing fraud ahead of ransomware as the top cyber-risk for businesses and consumers alike. CNet
• [New] Fraud prevention has become one of the most urgent priorities in 2026, with financial institutions, fintech startups, and even small businesses facing rising risks across the USA. RevoValue
• [New] Data privacy risks in AI training emerges as the top global AI-driven threat, overtaking fraud itself, with 85% valuing data or intelligence exchange - reinforcing its central role in modern fraud prevention strategies. FinExtra
• [New] With instant payments, AI-driven fraud, digital assets, and hyperconnected financial networks reshaping global transactions, institutions are navigating a threat landscape that evolves faster than traditional controls can respond. FinExtra
• [New] A new wave of cyber-fraud tactics, coupled with escalating AI-related vulnerabilities and a fractured geopolitical landscape, are reshaping corporate risk at unprecedented speed. Digit

Last updated: 03 February 2026