Insurance companies face the persistent challenge of combating online fraud, which has evolved with technological advancements, allowing fraudsters to operate across multiple regions without physical presence. During the COVID-19 pandemic, a significant rise in fraudulent activities was noted, particularly phishing scams targeting the vast data held by insurers, resulting in annual losses exceeding $80 billion and increased premiums for policyholders. Cyber-criminals employ tactics such as identity fraud and account takeovers to create multiple fraudulent accounts and claims, often utilizing stolen identities and devices. These fraudulent activities highlight the necessity for insurance companies to implement advanced detection and prevention strategies, such as device fingerprinting, which uses machine learning to identify suspicious behavior and protect against malicious users. By assigning unique identification codes to users, insurers can effectively monitor and block potential threats, thereby safeguarding their financial interests and maintaining customer trust.