- Bilkul Online
- Mumbai | 11 June 2026
Financial institutions around the world appear very concerned about the present and future of AI-driven fraud. In a new survey of 1,440 fraud-management, anti-money laundering (AML), and risk and compliance leaders at banks in 25 countries on five continents, 84% of respondents recognize AI agents as the industry’s greatest exploitable vulnerability in the next year, 88% say AI has already increased the sophistication of fraud, 60% expect AI-mediated banking to reduce the effectiveness of traditional fraud defenses, and 72% believe it will be very difficult to distinguish between legitimate AI-assisted actions and malicious or manipulated AI activity in a future where AI agents commonly initiate transactions.
“AI is starting to reshape how customers interact with e-commerce sites and financial institutions and will change how criminals execute fraud and other financial crimes,” BioCatch CEO Gadi Mazor said. “As digital interactions continue to grow faster, more automated, and increasingly driven by agents, we must move beyond static identity checks and toward a deeper and immediate understanding of behavior, intent, and trust.”
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Commissioned by BioCatch, which prevents fraud and financial crime by recognizing patterns in human behavior, the survey highlights how the global fraud challenge is manifesting across different markets — with India emerging as one of the most concerned and heavily impacted countries. The survey interviewed 100 fraud management, financial crime prevention, and risk and compliance leaders from Indian financial institutions. Ninety percent of Indian banking leaders surveyed say they’ve observed an increase in fraud attempts over the past year, significantly higher than the global average of 81%. Additionally, 84% reported rising fraud losses, compared to 76% globally. Both figures also represent a significant uptick from last year’s survey, in which 70% of those surveyed in India reported increasing fraud attempts and only 57% reported increasing fraud losses.
All respondents were manager-level or above, 62% were director-level or above, and 31% identified as members of their bank’s C-suite. Nearly all (98%) work at institutions with more than $10 million under management, 64% say their bank holds more than $100 million in assets, 49% more than $1 billion, and 22% more than $10 billion.
Indian banking leaders also appear particularly convinced that AI-powered fraud — both in the present and the future — represents a serious threat. Among the 25 countries surveyed in 2026, India emerged as the country most concerned about the accelerating speed of fraud.
India Findings:
Rising fraud:
- 90% say fraud attempts at their institution are increasing (vs. 81% globally). In 2025, only 70% of Indian respondents reported increasing attempts.
- 84% say fraud losses at their institution are increasing (vs. 76% globally). Last year, only 57% of Indian respondents reported increasing fraud losses.
- 95% are very concerned about an increase in the speed of fraudulent activity (vs. 76% globally).
- 48% say their institution loses more than $10 million to fraud every year, 32% more than $25 million, 16% more than $50 million, and 6% more than $100 million.
- 58% say their customers lose more than $5 million to authorized fraud/scams every year, 44% more than $10 million, 19% more than $25 million, 7% more than $50 million, and 2% more than $100 million.
Interbank intelligence sharing:
- 94% think interbank intelligence sharing could have a significant positive impact on their ability to stop fraud and financial crime (vs. 85% globally).
- 93% believe gaining real-time intelligence on the receiving account involved in a transaction would have a significant impact on their ability to recognize and stop scams (vs. 86% globally).
AI impact:
- 93% believe AI has increased the sophistication of fraud and scam schemes (vs. 88% globally).
- 83% believe AI agents could be the industry’s next largest exploitable vulnerability by fraudsters in the next year (vs. 84% globally).
- 90% believe that it will be very challenging to distinguish between legitimate AI-assisted actions and malicious or manipulated activity (vs. 72% globally).