Abstract

Apache Kafkahas become a cornerstone technology for high-volume, real-time data processing in many organizations. As its adoption grows, so does the need for robust security measures to protect sensitive data and ensure compliance with regulatory requirements. This paper explores advanced authentication and authorization mechanisms in Apache Kafka, focusing on their application in high-volume data processing environments. We analyze current security features, identify challenges, and propose enhancements to strengthen Kafka's security posture. Through case studies and practical examples, we demonstrate the implementation and effectiveness of these advanced security measures in real-world scenarios.

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