[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
[New] The Changing Face of the Money Mule In 2026, money mule activity will continue to grow alongside fraud, but more importantly, it will continue to change.
Acoru
[New] In 2026, fraud prevention will hinge on understanding mule risk as a lifecycle rather than an outcome.
Acoru
[New] Federal anti-fraud changes could disrupt child care for over 140,000 Texas children and threaten the survival of thousands of centers that rely on government subsidies.
The Dallas Morning News
[New] In 2026, identity verification providers will invest heavily in staying ahead of the regulatory curve (including new ETSI requirements), anticipating the next wave of AI-driven fraud, and refining existing protection layers so they do not come at the expense of conversion rates.
Authologic
[New] In the US Deloitte predicts that generative AI could enable fraud losses to reach $40 billion by 2027, up from £12.4 billion in 2023.
FinExtra
[New] Employment fraud will escalate as improved AI tools allow deepfake candidates to get through interviews more easily.
Fortune
[New] 2026 will bring broader adoption of generative and agentic AI, paired with heightened regulatory focus on explainability in credit scoring, fraud models, and other high-risk areas.
10Fold
[New] What's new The FBI's Internet Crime Complaint Center warned that AI-assisted fraud schemes, including synthetic voice impersonation and AI-generated social engineering messages, are increasing.
TECHMANIACS.com
[New] 72% of business leaders believe that AI-enabled fraud and deepfakes will be among their top operational challenges in 2026.
Fortune
[New] Leaders now expect AI to drive measurable outcomes in risk modeling, AML, and fraud detection.
Insight Global
[New] As we approach 2026, artificial identities, crafted using deepfake technology and AI, are poised to reshape cyber threats, fraud, and social engineering campaigns.
Cyble
