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Redpanda Unveils AI Gateway for Agentic AI Governance


Redpanda Unveils AI Gateway for Agentic AI Governance
  • by: Source Logo
  • |
  • February 19, 2026

Redpanda has introduced new capabilities in its Agentic Data Plane (ADP), including a centralized AI Gateway, AI observability via OpenTelemetry, built-in AI agents, and unified authentication and authorization. These features create a unified governance layer that enables enterprises to securely connect AI agents and Model Context Protocol (MCP) servers to live enterprise data, providing full visibility, control, and trust at scale.

Quick Intel

  • Redpanda Agentic Data Plane adds AI Gateway for centralized routing, policy enforcement, cost controls, and observability across AI traffic and MCP servers.
  • Unified authentication uses OIDC-based identity and fine-grained authorization to secure all agent interactions and eliminate long-lived credentials.
  • End-to-end observability emits metrics, traces, logs, and transcripts via OpenTelemetry for debugging, compliance, and analysis.
  • Supports any AI agent framework with open standards like A2A protocol, plus Redpanda’s managed agents and event-driven triggers via Redpanda Connect.
  • Quote from Tyler Akidau, CTO of Redpanda: “This is why the enterprise agentic AI market is struggling while consumer AI flourishes.”
  • Quote from Alex Gallego, founder and CEO of Redpanda: “AI agents don’t fail because models are bad; they fail because systems lack control.”

Addressing Governance Challenges in Production AI

Enterprises transitioning AI agents from experimentation to production face significant hurdles in safely managing access to sensitive data and systems. Redpanda’s ADP serves as a central control plane that routes all agent interactions through a single governance layer, reducing the complexity of configuring policies at individual data sources and enabling secure, scalable operations without compromising real-time performance.

Centralized AI Gateway for Operational Control

The AI Gateway acts as a unified access point between applications, AI models, and MCP services. It enforces policies, applies token budgets and spending limits, optimizes usage with deferred tool loading, and maintains an admin-controlled registry of approved MCP servers for rapid, YAML-based deployment.

Foundations of Agentic Safety and Trust

Security is anchored in OIDC authentication and granular authorization policies applied to every request from users, services, or agents. Observability captures complete request-response flows for inspection in the Redpanda console or export to external tools, supporting compliance, incident analysis, and continuous improvement of agent behavior.

Real-Time Data Integration and Flexibility

Built on Redpanda’s low-latency streaming engine, ADP delivers continuous context updates and event-driven execution. With over 300 connectors via Redpanda Connect, enterprises can integrate data from databases, SaaS platforms, streams, and lakes without data movement or architectural changes, preserving existing investments while enabling real-time agentic workflows.

These capabilities are now available to select Design Partners on Bring Your Own Cloud (BYOC) deployments in AWS, with planned expansions to GCP, Azure, and self-hosted environments.

Redpanda is pioneering the agentic data plane - a new category in AI infrastructure that makes it simple and secure to connect AI agents with enterprise data and systems. Built on a multi-modal data streaming engine, Redpanda empowers agentic applications that reason and act in real-time with speed, autonomy, and precision. Global leaders including Activision, NYSE, Cisco, Moody's, Texas Instruments, Vodafone and 2 of the top 5 banks in the U.S. rely on Redpanda to process hundreds of terabytes of data a day.

  • Agentic AIData StreamingEnterprise AI
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