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


  • [New] Gen AI could see fraud losses reaching US$ 40 billion in the United States by 2027, a compound annual growth rate of 32%. FinExtra
  • [New] Fraud losses facilitated by generative AI in the United States alone are projected to climb from $12.3 billion in 2024 to a staggering $40 billion by 2027 representing a compound annual growth rate of 32%. Fraud And Order
  • [New] While 2025 was defined by warnings of Gen AI-fuelled synthetic identity fraud, 2026 will be the year the true scale is revealed. Retail Banker International
  • [New] 2026 will be the year AI stops just alerting consumers and starts acting for them by blocking fraud, filing disputes, and managing transactions autonomously. Retail Banker International
  • [New] While the deepfake crisis is often framed as a fraud problem, the UK's messaging centers the risks to individual girls and women. BiometricUpdate.com
  • [New] Losses from deepfake fraud are expected to hit $40 billion by 2027. Managed IT Services & Technology Consulting | OSIbeyond
  • [New] High-growth Asian markets have traditionally been viewed as higher-risk environments for online payments, but AI-driven models are reshaping fraud management and approval strategies. Fintech Singapore
  • [New] In the banking and financial services space, companies such as JPMorgan Chase are exploring the use of AI agents to detect fraud, provide customized financial advice, and automate loan approvals and legal and compliance processes, which could reduce the need for junior bankers. MIT Sloan
  • [New] As AI continues to reshape the way organizations operate, it is redefining how fraud risks emerge and evolve. Grant Thornton
  • [New] 53% of brokers expect gross margins to grow in the first half, and 83% believe they will be better able to combat fraud in 2026 than in previous cycles. Heavy Duty Trucking
  • [New] AI-generated fraud will be the frontline threat for retailers in 2026. Fisher Phillips
  • [New] Cyber fraud tops CEOs' 2026 digital threat concerns, surpassing ransomware, with AI vulnerabilities rising. Codekeeper
  • AI fraud detection offers a $160 billion opportunity for insurers. MEXC
  • Generative AI could enable fraud losses to reach $40 billion in the United States by 2027, up from $12.3 billion in 2023. America's Credit Unions
  • 2026 will see a boom in AI-driven autonomous fraud, with coordinated fleets of agents conducting high-speed attacks at scale. Fraud And Order
  • Account takeover fraud remains a top threat in 2026, with criminals leveraging emerging channels like mobile wallets, peer-to-peer payment apps, and cryptocurrency platforms. Fraud And Order
  • Experian's 2026 Fraud Forecast warns of a fraud tipping point, where AI agents and deepfakes drive unprecedented scams, with consumers already losing $12.5 billion to fraud in 2025. Reputation Ace - Reputation Management
  • Nearly nine in 10 respondents reported an increase in AI-related vulnerabilities over the past year, alongside rising cyber-enabled fraud, phishing and software exploits. Leaders' Choice Insurance
  • Asia Pacific is expected to witness the fastest growth during the forecast period, due to rapid digitization, a booming e-commerce and mobile payment sector, increasing sophistication of cybercrime and financial fraud, and evolving regulatory compliance requirements. Precedence Research
  • AI adoption across BFSI - particularly in fraud detection, compliance automation, and predictive risk modeling-is accelerating globally. ET Edge Insights

Last updated: 24 February 2026



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