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


  • [New] AI fraud detection offers a $160 billion opportunity for insurers. MEXC
  • [New] 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
  • [New] 2026 will see a boom in AI-driven autonomous fraud, with coordinated fleets of agents conducting high-speed attacks at scale. Fraud And Order
  • [New] 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
  • [New] 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
  • [New] 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
  • [New] 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
  • [New] AI adoption across BFSI - particularly in fraud detection, compliance automation, and predictive risk modeling-is accelerating globally. ET Edge Insights
  • [New] Artificial Intelligence: We expect the SEC to continue to focus on AI, particularly on AI-washing - hyperbolic or inaccurate AI disclosures - which may lead to fraud claims under the federal securities laws. Debevoise
  • [New] Fraud risk continues to rise across the financial industry, and early 2026 is an important time for financial institutions to reexamine their prevention strategies. Brady Martz & Associates
  • [New] In 2026, multi-agent AI workforces supporting KYC reviews, AML and fraud investigations are expected to gain significant traction, augmenting analyst capacity and improving investigative consistency. AML Intelligence
  • [New] Alarmingly, humans correctly identify deepfake videos only 40% of the time, and 88% of organizations expect GenAI fraud to surge in the next two years. BiometricUpdate.com
  • Deepfake-related fraud could cost the US economy $40 billion by 2027. Security Journal UK
  • 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
  • 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
  • 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

Last updated: 17 February 2026



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