A Secure API Gateway Framework for Enterprise Applications
Abstract
In the era of cloud computing and distributed architectures, securing enterprise applications has become increasingly complex due to the widespread adoption of microservices and API-driven communication. This paper proposes a secure API gateway framework that integrates OAuth-based authentication, JSON Web Token (JWT) authorization, and AI-based anomaly detection to provide a robust, scalable, and intelligent security solution for enterprise environments. The API gateway acts as a centralized entry point for all client requests, enforcing authentication, authorization, rate limiting, and request validation. OAuth is utilized to enable secure and delegated access control, ensuring that only authorized users and applications can access protected resources without exposing sensitive credentials. JWT is employed for stateless and efficient authorization, allowing secure transmission of user identity and permissions across distributed services. To further enhance security, the framework incorporates an AI-driven anomaly detection module that leverages machine learning algorithms to monitor API traffic patterns, detect unusual behaviors, and identify potential threats such as unauthorized access attempts, distributed denial-of-service (DDoS) attacks, and data exfiltration activities
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