Introducing the Agentic Data Plane

Redpanda announced its Agentic Data Plane, a unified runtime and control platform intended to give AI agents governed access to enterprise data across cloud, self-managed, and bring-your-own-cloud environments. The platform combines low-latency event streaming for human-in-the-loop workflows, an Iceberg-native distributed query engine for real-time and historical context, more than 300 data connectors, and centralized policy, authentication, authorization, observability, and audit capabilities. Redpanda says it has built Remote MCP support, identity-provider integration for on-behalf-of workloads, agent templates for sources such as Git, Jira, and Google Drive, and a declarative agent runtime, while emphasizing controls including consent workflows, data-loss-prevention hooks, task-based authentication, and immutable audit trails. The company also announced its acquisition of Oxla, a C++-based distributed query engine using the PostgreSQL wire protocol and separated compute-storage architecture, which it plans to integrate to support low-latency Iceberg queries and agent context management. Redpanda positions the offering as an open, standards-based approach using technologies such as MCP, A2A, PostgreSQL, Iceberg, and durable streaming logs to help enterprises deploy AI agents while addressing security, compliance, and operational visibility concerns.

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