Cybersecurity statistics about financial fraud
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92% of the financial institutions surveyed indicate that fraudsters use generative AI.
89% of banks prioritise explainability and transparency in their AI systems.
AI is used for scam detection by 50% of financial institutions.
Forty-three percent (43%) of financial professionals report increased efficiency within fraud teams due to AI
Two-thirds of banks have integrated AI within the past two years.
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.
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.
Nine in ten banks are already using AI to detect fraud.
59% of financial professionals cite SMS and phishing scams powered by AI to deceive victims.
60% of financial professionals recognise voice cloning as a major concern.
More than 50% of fraud is driven by artificial intelligence and hyper-realistic impersonations.
4 of 5 (83%) financial fraud claims began with email.
Financial fraud remained the most common incident type, accounting for 32% of all claims.
93% of digital banking Americans indicated that protecting data from financial fraudsters and hackers was important or very important to them.