As artificial intelligence continues to gain momentum across industries, bank fraud has risen across multiple countries, raising concerns about the scale of financial losses financial institutions may face if this trend continues. Fraud is increasingly concentrated across mobile banking, online shopping, and card payments, highlighting an urgent need for banks to adopt stronger preventive measures to protect customers and reduce potential losses.
Recent data illustrates the severity of this issue: India witnessed a 46% year-on-year rise in banking fraud in FY26. While the number of reported fraud cases remained relatively contained, the financial impact per case increased, as per the Economic Times, indicating that victims are losing larger sums of money. Similarly, Cifas reported approximately 444,000 fraud cases in the UK among its members in 2025, representing a 6% increase compared to 2024. This demonstrates the increasing scale and sophistication of the fraud being committed.
The rise of fraud-as-a-service’ models
A key factor behind this rise is the emergence of ‘fraud-as-a-service’ models, whereby criminals sell ready-made scam kits that enable even low-skilled actors to commit sophisticated fraud schemes. Combined with AI tools capable of generating convincing fake identities, emails, voice recordings, and social media profiles at scale, fraud is becoming more automated, accessible, and difficult to detect.
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Across the financial system, fraud remains most prevalent in card payments, internet banking, and digital payment channels and has increased over the past two financial years. However, a significant contributing factor is not only technological vulnerability but also human behaviour. Low consumer awareness, combined with increasingly sophisticated social engineering tactics, often leads individuals to authorise payments themselves under deceptive circumstances. This makes prevention more complex, as many fraud losses result not from direct system breaches but from manipulated customer actions.
The long-term implications for banks are substantial. Mastercard projects that global fraud losses could rise by 153% over the next five years, increasing from approximately $23bn in 2025 to $58.3bn by 2030. Such a sharp increase represents a major financial risk to the banking sector and could also undermine confidence in digital financial ecosystems.
GlobalData Mobile Wallet Analytics 2025
Supporting this concern, GlobalData’s Mobile Wallet Analytics 2025 dashboard found that 18% of respondents avoid using mobile or wearable payment methods due to security concerns, suggesting that rising fraud could deter digital adoption and slow innovation in financial services.
In response, banks must invest more heavily in advanced fraud detection infrastructure, particularly AI-driven monitoring systems capable of identifying suspicious behaviour in real time. However, technology alone is insufficient. Since many scams originate through phone calls, messaging platforms, and social engineering tactics that lie outside direct banking channels, continuous customer education remains essential. Banks must actively support customers through alerts, warnings, and awareness campaigns to reduce their susceptibility to manipulation.
Overall, the growing sophistication of fraud combined with the increasing availability of AI tools presents significant challenges for modern banking systems. Without coordinated action involving stronger technology, regulatory collaboration, and sustained consumer education, fraud losses are likely to escalate further. Ultimately, protecting trust in digital banking will depend not only on preventing attacks but also on strengthening the awareness and resilience of customers themselves.
Bhavya Patel is an Associate Analyst, Banking & Payments, GlobalData
