In 2025, bank fraud remains a significant threat as financial institutions balance the need for seamless customer experiences with robust security measures. As banks introduce new digital features, they inadvertently open more opportunities for fraudsters who exploit vulnerabilities using advanced technologies, such as generative AI. Key types of fraud include credit card fraud, account takeover attacks, new account fraud, and payment fraud, which are challenging to detect amidst the high transaction volumes and chaotic multi-device environments. Fraudsters adeptly mimic legitimate user behavior and use sophisticated techniques like automation and deepfakes, making traditional detection methods less effective. To counteract these threats, banks are employing advanced tools such as device intelligence and behavioral analytics, which analyze numerous data points to detect anomalies and provide real-time fraud signals without disrupting the user experience. Solutions like Fingerprint leverage persistent visitor IDs and smart signals to identify suspicious activities and automate responses, offering a privacy-compliant, seamless integration into existing systems to enhance fraud prevention strategies.