The need for data privacy in Apache Kafka arises as companies increasingly utilize data for competitive advantage, facing regulatory and reputational risks associated with handling sensitive information. Apache Kafka, a real-time data streaming platform, lacks built-in de-identification protocols compliant with regulations like GDPR and CCPA. The integration of the Privitar Data Privacy Platform with the Confluent Platform via the Privitar Kafka Connector provides a solution, enabling data privacy protections while maintaining analytical utility. This integration allows for the application of Privacy Policies that de-identify sensitive data in Kafka streams, ensuring compliance without the complexities of managing scripts. Privitar's tools allow data scientists to work with privacy-protected data, maintaining statistical relevance and the option for controlled re-identification. This solution is particularly valuable for organizations aiming to manage data privacy across large deployments, offering centralized policy deployment and compliance traceability.