Redpanda AI Gateway Extends a Unified Governance Layer for Enterprise AI

Redpanda, a real-time data platform for the agentic enterprise, announced the availability of new core capabilities in the Redpanda Agentic Data Plane (ADP), including a centralized AI gateway, AI observability and evaluation via OpenTelemetry, AI agents, and unified authentication and authorization.

According to the company, together, these features form a unified governance layer that allows enterprises to securely connect AI agents and Model Context Protocol (MCP) servers to live enterprise data with full visibility and control.

“This is why the enterprise agentic AI market is struggling while consumer AI flourishes,” said Tyler Akidau, CTO of Redpanda. “Building an agent is remarkably easy. Running one safely in a company, with access to sensitive systems and data, remains genuinely hard. Redpanda is focused on bringing control to the connectivity layer—rather than configuring access policies individually at each data source, enterprises need a central point through which all agent interactions flow: an agentic data plane.”

First introduced in October, Redpanda’s ADP exists to make AI agents trustworthy at scale. Acting as both a governance layer and a control plane, it governs how agents authenticate, access data, and act while recording intent, inputs, and outputs for complete auditability, the company said.

With AI Gateway, open agent interoperability, unified identity, and full observability, enterprises gain the controls needed to safely run agents on live data without sacrificing speed or visibility.

“AI agents don’t fail because models are bad; they fail because systems lack control,” said Alex Gallego, founder and CEO of Redpanda. “With Redpanda Agentic Data Plane, we’re giving enterprises a practical way to operate agentic systems safely, with identity, policy enforcement, and observability built in from day one.”

Redpanda AI Gateway provides a unified access layer between applications, AI models, and MCP services. It centralizes routing, policy enforcement, cost controls, and observability across all AI traffic. Enterprises can define token budgets, set spending limits, and optimize usage through deferred tool loading, bringing operational discipline to complex agent workflows.

Redpanda ADP is designed to work with any AI agent framework. Enterprises can run and govern agents built on their existing frameworks, as well as use Redpanda’s built-in AI agents when they want a fully-managed option.

All agents, whether hosted by Redpanda or external, interact with data and tools through open standards such as the A2A protocol, and integrate with ADP’s unified authentication, authorization, and observability services.

Agents can also be triggered through Redpanda Connect pipelines, enabling real-time, event-driven and human-in-the-loop workflows, the company said.

Redpanda ADP emits full-fidelity metrics, traces, logs, and transcripts using the OpenTelemetry Protocol (OTLP). Enterprises can inspect agent behavior directly in the Redpanda console or export traces to external observability platforms, enabling debugging, compliance, and post-incident analysis.

With more than 300 connectors available through Redpanda Connect, enterprises can expose data from databases, SaaS platforms, data streams, and data lakes without moving data or breaking existing architectures.

The latest Redpanda ADP capabilities are available now to select Redpanda Design Partners running Bring Your Own Cloud (BYOC) on AWS. Support for GCP, Azure, and self-hosted environments is planned for future releases.

For more information about this news, visit www.redpanda.com.