How to safely deploy agentic AI in the enterprise

The enterprise agentic AI market faces challenges in deploying AI systems safely within private networks, unlike the booming consumer AI sector. Redpanda CTO Tyler Akidau, speaking at Dragonfly's Modern Data Infrastructure Summit, highlighted how streaming platforms can address these challenges by offering solutions for infrastructure and data movement issues that agentic AI systems encounter. Agentic AI is defined as AI performing tasks, which might be part of a workflow or autonomous, and requires context building, governance, auditing, and coordination among multiple agents for effective deployment. Streaming platforms facilitate these requirements by enabling dynamic routing, scalable communication, and robust logging, providing a data movement solution that can help enterprises implement AI safely. However, additional components like authentication, context querying, and workflow execution are still necessary for a comprehensive solution. Redpanda's newly launched Agentic Data Plane aims to integrate agentic AI safely by offering a managed data control plane for enterprises.

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