As financial institutions bolster their fraud prevention systems, scammers are shifting tactics—favoring account takeover (ATO) fraud over traditional scams. Instead of manipulating victims into making transactions themselves, fraudsters are bypassing them entirely, taking control of their digital identities and draining funds directly.
Account takeover fraud involves unauthorized access to an individual's account to conduct fraudulent transactions. This form of cybercrime has seen a sharp uptick in recent years as attackers use increasingly advanced techniques—such as phishing, credential stuffing, and malware—to compromise online banking platforms. Conventional fraud detection tools, which rely on static behavior analysis, often fall short as bad actors now mimic legitimate user actions with alarming accuracy.
According to NICE Actimize's 2025 Fraud Insights U.S. Retail Payments report, the share of account takeover incidents has increased in terms of the total value of fraud attempts between 2023 and 2024. Nevertheless, scams continue to dominate, making up 57% of all attempted fraud transactions.
Global financial institutions witnessed a significant spike in ATO-related incidents in 2024. Veriff's Identity Fraud Report recorded a 13% year-over-year rise in ATO fraud. FinCEN data further supports this trend, revealing that U.S. banks submitted more than 178,000 suspicious activity reports tied to ATO—a 36% increase from the previous year. AARP and Javelin Strategy & Research estimated that ATO fraud was responsible for $15.6 billion in losses in 2024.
Experts emphasize the need to embrace AI-powered behavioral biometrics, which offer real-time identity verification by continuously assessing how users interact with their devices. This shift from single-point login checks to ongoing authentication enables better threat detection while enhancing user experience. These systems adapt to variables such as device type, location, and time of access, supporting the NIST-recommended zero trust framework.
"The most sophisticated measurement approaches now employ AI analytics to establish dynamic baselines for these metrics, enabling continuous ROI assessment as both threats and solutions evolve over time," said Jeremy London, director of engineering for AI and threat analytics at Keeper Security.
Emerging Fraud Patterns
The growth of ATO fraud is part of a larger evolution in cybercrime tactics. Cross-border payments are increasingly targeted. Although international wire transfers declined by 6% in 2024, the dollar value of fraud attempts surged by 40%. Fraudsters are now focusing on high-value, low-volume transactions.
One particularly vulnerable stage is payee onboarding. Research shows that 67% of fraud incidents were linked to just 7% of transactions—those made to newly added payees. This finding suggests that cybercriminals are exploiting the early stages of payment relationships as a critical vulnerability.
Looking ahead, integrating multi-modal behavioral signals with AI-trained models to detect sophisticated threats will be key. This hybrid approach is vital for identifying both human-driven and synthetic fraud attempts in real-time.
