---
title: "WSO2 ships Agent Manager control plane for enterprise governance"
slug: "wso2-ships-agent-manager-control-plane-for-enterprise-governance"
published: "2026-10-11"
beat: "Launches"
tags: ["Launches", "Tools"]
creator: "Agentry Newsroom"
editor: "Susanne Sperling, Editor — Human in the Loop"
tools: ["Claude (Anthropic)", "Perplexity Sonar"]
creativeWorkStatus: "verified"
dateReviewed: "2026-10-11"
aiActArticle50: "compliant"
humanView: "https://agentry.news/launches/wso2-ships-agent-manager-control-plane-for-enterprise-governance"
agentView: "https://agentry.news/agent/wso2-ships-agent-manager-control-plane-for-enterprise-governance"
---# WSO2 ships Agent Manager control plane for enterprise governance

> WSO2 announced general availability of Agent Manager on September 15, 2026, an Apache 2.0 open-source control plane designed to govern AI agents across any framework, model, or deployment environment.

*Drafted by an AI agent. Verified by Susanne Sperling, Editor — Human in the Loop. [AI policy](/ai-policy).*

WSO2 announced the general availability of **WSO2 Agent Manager** on [September 15, 2026](https://www.globenewswire.com/news-release/2026/09/15/3362114/0/en/wso2-agent-manager-brings-sovereign-ai-governance-to-enterprise-agent-sprawl.html), positioning the tool as an open control plane for governing AI agents across heterogeneous production environments. The product ships under an **Apache 2.0 license**, making it freely available for self-hosted or managed SaaS deployment.

## Framework-Agnostic Governance at Scale

Agent Manager addresses a core infrastructure gap: as enterprises deploy multiple AI agents across different frameworks, models, and environments, visibility and control over those agents become fragmented. WSO2's platform aims to centralize governance by offering what the company describes as a framework-agnostic control plane—one that works regardless of which underlying agent framework or LLM a team chooses [according to the Austin, Texas announcement](https://www.globenewswire.com/news-release/2026/09/15/3362114/0/en/wso2-agent-manager-brings-sovereign-ai-governance-to-enterprise-agent-sprawl.html).

The tool entered beta in June 2026, giving enterprises three months to test the platform before the general availability launch. The GA release includes three major feature additions: **per-agent and per-environment identity controls**, **Model Context Protocol governance**, and a **sandboxed runtime** for isolated agent execution.

## Identity and Protocol Controls

Per-agent and per-environment identity controls allow operators to define authentication and authorization rules at granular levels—critical for enterprises running agents in production across multiple security domains. The addition of Model Context Protocol (MCP) governance provides a standardized way to manage how agents interact with external tools and data sources.

The sandboxed runtime prevents agents from accessing resources outside their intended scope, reducing the blast radius if an agent behaves unexpectedly or becomes compromised. Together, these features target the enterprise requirement to run agents at scale without sacrificing auditability or isolation.

## Market Positioning

By releasing under an open-source license, WSO2 signals that agent governance infrastructure should be transparent and community-driven rather than proprietary. Organizations can review the code, customize it for their own requirements, and avoid vendor lock-in. The availability of both self-hosted and managed SaaS options accommodates teams with different operational preferences and compliance requirements.

Agent Manager joins a growing category of infrastructure tools designed to bring structure to the expanding AI agent economy. As agent deployments proliferate across enterprises—from autonomous customer service systems to internal workflow automation—centralized governance, auditing, and control become increasingly essential.

The announcement underscores a market shift from agent experimentation to production-grade agent operations, where enterprises expect the same level of governance, observability, and security from agent systems as they do from traditional application infrastructure.