Financial Fraud
Cybersecurity statistics about financial fraud
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Fifty percent of affected consumers cite immediate financial fraud as their primary fear, and 54 percent of consumers report an increase in targeted phishing attempts after a breach (2025)
60% of financial professionals recognise voice cloning as a major concern.
Two-thirds of banks have integrated AI within the past two years.
More than 50% of fraud is driven by artificial intelligence and hyper-realistic impersonations.
AI is used for scam detection by 50% of financial institutions.
92% of the financial institutions surveyed indicate that fraudsters use generative AI.
Forty-three percent (43%) of financial professionals report increased efficiency within fraud teams due to AI
90% of financial institutions are combating emerging fraud with AI-powered solutions.
Only 8% of financial institutions noted that they do not see GenAI being used by criminals.
89% of banks prioritise explainability and transparency in their AI systems.
44% of financial professionals report that deepfakes are used in fraudulent schemes.
87% of banks cite data management as their biggest hurdle in AI implementation.
AI is used for transaction fraud detection by 39% of financial institutions.
AI is used for anti-money laundering efforts by 30% of financial institutions.
56% of financial professionals cite social engineering as a significant tactic powered by AI.
59% of financial professionals cite SMS and phishing scams powered by AI to deceive victims.
Nine in ten banks are already using AI to detect fraud.
Financial fraud remained the most common incident type, accounting for 32% of all claims.
4 of 5 (83%) financial fraud claims began with email.
93% of digital banking Americans indicated that protecting data from financial fraudsters and hackers was important or very important to them.