WSO2 Introduces Agent Manager to Bring Identity, Governance and Scale to Enterprise AI Agents


Austin, TX – WSO2 today announced the beta launch of WSO2 Agent Manager, an open control plane for AI agents, giving enterprises a unified way to identify, manage, protect, and scale agents across all environments. As organizations move from AI testing to production, WSO2 Agent Manager addresses a critical gap: bringing visibility, control, and accountability to autonomous agents operating across the enterprise.
Organizations are accelerating adoption to avoid being left behind, driven by the promise of indirect productivity benefits that agent systems can unlock. However, operational maturity is lagging behind. Many teams are forced to choose between moving quickly with limited visibility and control, introducing significant risk that cannot be controlled, or slow progress to build operational frameworks for each time and place we operate. According to Gartner, more than 40% of agent AI projects are expected to be canceled by 2027 due to increased costs, unclear value, and insufficient risk management.
The WSO2 agent manager extends WSO2’s long-standing role as a business control layer in the AI era, enabling invisible agents to become first-tier, controlled participants in business processes.
“AI agents present a fundamentally new challenge. Their autonomy and possible behavior make them powerful but also difficult to control,” said Rania Khalaf, Chief AI Officer at WSO2. “With WSO2 Agent Manager, we are bringing agents to businesses where they are no longer abstract processes, but identified, managed, independent businesses that can be deployed securely at scale.”
As businesses deploy increasing numbers of agents, many are experiencing “agent fragmentation” with limited connectivity, inconsistent controls, and increased compliance risks, often compounded by disparate tools, runtimes, and hyperscalers. WSO2’s agent manager addresses this by establishing a central system of record for all agents, allowing organizations to innovate freely by choosing the frameworks that best suit their use cases while maintaining a consistent method of agent operation. This includes unified governance, performance information, and policy maintenance for agents operating within Agent Manager and across external environments.
Key skills include:
- Combined agent administration – Manage agents across platforms and locations, i.e. cloud, on-premises, and hybrid, with a single control plane.
- Agent identity and access transfer – Establish strong identity of agents and securely transfer access, ensuring that all actions are authenticated, authorized, and auditable.
- Central management and monitoring roads – Define and implement policies across agents, LLMs, and tools to manage behavior, mitigate risk, and ensure compliance.
- Visibility, traceability, and visibility – Gain deep insights into agent behavior with end-to-end tracking and track how agents are performing with a rich testing framework.
- Secure, scalable runtime – Deploy agents in a Kubernetes, zero-trust environment with isolation and lifecycle controls, including real-time intervention.
- An open, framework-agnostic framework – Built on open standards including OpenTelemetry, OpenAPI, and MCP, allowing compatibility with leading frameworks such as LangGraph, CrewAI, and Ballerina without vendor lock-in.
WSO2 Agent Manager, which will be generally available in June 2026, is released under the Apache 2.0 license and is designed to avoid vendor lock-in. By adopting open standards and an open source license, the platform strengthens digital resilience, giving organizations the freedom to innovate while maintaining business control over their agents and full ownership of their technology stack.



