[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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