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The increasing reliance on digital financial trans-actions has led to a rise in fraud, particularly through social engineering techniques such as phishing and SIM swap attacks. Traditional fraud detection systems primarily rely on rule-based mechanisms combined with One-Time Password (OTP) authen- tication for transaction authorization. While these approaches provide a baseline level of security, they exhibit limitations in adapting to evolving fraud patterns and are vulnerable to credential compromise.This project proposes ”Fraud Sentry”, a middleware-based fraud prevention system that enhances existing rule-based detection frameworks by incorporating biometric authentication for high-risk transactions. The system evaluates transactions using predefined rules and contextual parameters to determine a risk score. When suspicious activity is detected, the system enforces biometric verification instead of OTP-based confirmation. This approach strengthens user authentication and reduces the effectiveness of social engineering attacks while main- taining compatibility with existing systems.The rapid adoption of digital financial services, particularly mobile banking and Unified Payments Interface (UPI), has significantly transformed the global financial ecosystem. However, this transformation has also increased the attack surface for cybercriminals. According to recent industry reports, digital payment fraud cases have increased exponentially due to the widespread use of smartphones and internet banking.