[New] Financial losses to businesses due to deepfakes and AI fraud in the U.S. could reach $40 billion by 2027, up from $12.3 billion in 2023.
Information Week
[New] By 2026, AI-driven verification will filter out 99.8% of synthetic identity fraud.
Gemba
[New] Deepfake-driven social engineering already works at a professional level, fraud teams are almost entirely unprepared for it, and by 2026 every serious investigator who has not built deepfake-aware workflows will be systematically outmaneuvered.
CaraComp
[New] Federal prosecutors have already uncovered that the situation in Minnesota could surpass $9 billion in fraud with dozens of people already charged.
cloud
[New] Account Hijacking SIM-swap fraud and OTP phishing remain major vulnerabilities. / India
LinkedIn
[New] The proposed Victims' Restoration Fund - which would compensate victims of cyber-enabled fraud from TCO-linked assets - could increase pressure on financial institutions to identify and freeze connected funds.
JD Supra
[New] Looking ahead to 2036, returnless refund fraud detection will evolve into a core component of digital commerce infrastructure.
Morningstar, Inc.
[New] Between 2026 and 2030, adoption of returnless refund fraud detection solutions is expected to accelerate as retailers face mounting pressure from escalating return volumes and abuse rates.
Morningstar, Inc.
[New] Synthetic identity fraud alone could generate global losses of $23 billion by 2030.
Cybercrime Magazine
[New] CMS proposes to publish SSVI information, noting that a high SSVI, while not directly indicating fraud, waste, or abuse, could raise program integrity concerns.
McDermott+
[New] AI automation in 2026 analyzes network traffic, user behaviour, and system logs to detect anomalies that can signal fraud and security threats.
FlexLab
[New] AI is already used for transaction monitoring, SAR drafting, and deepfake detection, with Treasury planning further guidance and collaboration with NIST, while noting risks such as synthetic identity fraud.
Sumsub
[New] Over the next three to five years, INTERPOL expects a sharp escalation in transnational fraud, driven by artificial intelligence, low-cost digital tools, and increased global criminal collaboration.
The Cipher Brief
[New] With the rise in online transactions and fraud cases, all platforms like UPI, net banking, and mobile wallets will now require two-factor authentication.
News24 English
[New] Under the disrupt strand, a new Online Crime Centre will be launched in April, bringing together specialists from UK policing, the UK Intelligence Community, and private sector partners from financial, telecommunications, technology and cyber industries to drive co-ordinated action against fraud.
Mishcon de Reya LLP
[New] Security & Fraud Spending: AI-related threats are driving a projected 40% average increase in security spending for 2026.
LinkedIn
By 2027, projected losses from AI-driven fraud could reach $40 billion - up from $16.6 billion in 2024.
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More than 78% of respondents expect AI and deepfake-powered fraud to increase even further throughout 2026.
Veriff
The inclusion of deepfake-enabled fraud is projected to drive total fraud losses in the U.S. to $40 billion by 2027, up from estimates that previously excluded AI-related threats.
GOV.UK
Experian's 2026 Future of Fraud Forecast identifies AI-powered emotionally intelligent bots as a top emerging threat, capable of sustaining dozens of simultaneous relationships while adapting tone and personality to each target.
Vectra AI
By 2027, collective financial losses from AI-assisted fraud could quadruple.
EmoryBusiness.com
Last updated: 21 April 2026
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