[New] In 2026 there will be a boom in AI-driven autonomous fraud.
Sumsub
[New] Fraud Detection and Risk Monitoring:AI-powered surveillance systems continuously analyze transaction behaviour, flag suspicious activity, and reduce credit fraud exposure across digital lending platforms, e-wallets, and card networks operating in the Philippines.
openpr
[New] Over the next 12 months, 29% of global respondents will continue to focus on fraud, and KYC/KYB enhancements, underscoring a shift towards faster, more transparent, and seamless lending journeys.
Fintech Singapore
[New] With the massive momentum, the structural drivers like regulatory harmonization, foreign exchange settlement systems, fraud risks management and merchant networks density will dictate the UPI global expansion.
ET Edge Insights
[New] According to Accenture, 57% of banking executives expect AI agents to be fully embedded in risk, compliance, and fraud detection within three years.
FinExtra
[New] By 2027, social engineering fraud (e.g., a deepfake CFO ordering a wire transfer) will account for a significant portion of cyber claims.
Emerline
[New] Money mule fraud has become a pressing global concern, targeting ordinary individuals and threatening the financial integrity of communities and nations.
Stephen Musings
[New] In 2026, we are expecting synthetic fraud losses to continue to escalate sharply.
PwC
[New] From AI-driven phishing campaigns and deepfake fraud to massive cloud data breaches impacting hundreds of millions of users, the threat landscape has evolved into a highly organized global industry.
Malware Analysis, News and Indicators
[New] Cyble's 2026 predictions anticipate more sophisticated social engineering at scale, real-time financial fraud challenging banking authentication, and content verification crises affecting corporate decisions.
Compliance Hub Wiki
[New] In 2026, fraud will hinge on spotting the behavioural tells that separate humans from machines.
Retail Banker International
Gen AI could see fraud losses reaching US$ 40 billion in the United States by 2027, a compound annual growth rate of 32%.
FinExtra
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
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
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
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
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
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
As AI continues to reshape the way organizations operate, it is redefining how fraud risks emerge and evolve.Grant Thornton
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
Last updated: 03 March 2026
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