GenAI is quickly becoming an indispensable part of modern enterprises, powering key business functions and growing massively—with nearly 72 percent of users reporting that they used AI weekly. Apache Kafka is vital to many GenAI environments—but because it lacks built-in lineage, policy enforcement, or field-level encryption, teams have a hard time ensuring compliance, security, and control.

Read this ebook to learn about:

• The security, compliance, and governance risks associated with streaming data for GenAI

• How data quality impacts the reliability and trustworthiness of AI outputs

• How to centralize and enforce field-level encryption, security policies, and access control across an event-driven AI architecture

• How Conduktor’s shift-left, zero-trust architecture helps resolve these issues