Agent Manager
The open enterprise control plane for AI agents
Secure, operate, and manage AI agents across any framework including LangChain, CrewAI, AWS Strands, Microsoft Agent Framework, and any deployment.
WSO2 is trusted by enterprises worldwide
Why enterprises need an agent control plane
Agents are outpacing the infrastructure
built to govern them
Most agent programs are either stuck in pilot, or sprawling out of control.
of agents make it to production
Gartner predicts 40% of agentic AI projects will be cancelled by the end of 2027.
of enterprises report a control failure
Most are force-fitting agents into tools built for applications.
concern for CIO's is agent sprawl
Teams have no central system and no consistent controls, letting shadow agents run ungoverned.
One place to manage every agent
Identity, guardrails, and observability for every agent in one system. No more stitching together tools that don't scale.
Key use cases
What changes with an agent management platform
Break through the POC bottleneck
Get agents to production faster with clear readiness and consistent controls.
Before
- Agents stall indefinitely in pilot.
- Each launch decision is a subjective, one-off debate between developers, IT, and security with no consistent bar for “ready.”
- Teams spend months building agents that never ship.
After
- Every agent passes the same defined checklist before shipping.
- Production readiness is a clear yes/no backed by a log, not a debate.
- Performance is continuously monitored after launch.
Close the trust gap
Create transparency, reduce risk, and govern agents at scale across every framework.
Before
- There's no single list of what agents exist, who built them, or what they can touch.
- Agents often run on borrowed human or service-account credentials, with no record of what an individual agent did.
After
- Agents are logged in a central inventory instead of running as unaccounted-for shadow agents.
- Every agent has its own identity, with delegation policies defining exactly what it can act on and on whose behalf.
Innovate with control
Foundational controls let you rebuild less and iterate faster.
Before
- Every new framework a team adopts means rebuilding authentication, guardrails, and logging from scratch.
- Engineers spend time on infrastructure, not agent logic.
- Governance lives in silos, forcing teams to either recreate controls or standardize just to stay governed.
After
- One policy, identity, and observability layer applies automatically across every framework and cloud a team uses.
- Adopting a new framework doesn't require rebuilding the governance layer underneath it.
Manage agent performance
Validate performance, spend, and output to improve quality and lower cost.
Before
- Weak agent security raises the risk of major operational and financial damage from a runaway agent.
- Teams have no continuous way to catch a quality or cost fluctuation before it compounds.
- There's no fast way to cut an agent off quickly.
After
- Incidents and unexpected spend are avoided, with fluctuations caught by continuous evaluation before they hit the invoice.
- Teams can compare models side by side to optimize performance and fit.
- Suspending a compromised or runaway agent can be done immediately.
Federated agent management & execution runtime
Manage agents running elsewhere or within the platform
Eliminate shadow agents. Bring every agent, on any framework or model, into one inventory with consistent controls.
Agent identity
Know who your agents are and what they can access
Every agent gets its own verifiable identity. Delegation, role-based access, and token exchange are built in, not borrowed from a person or service account.
Guardrails & gateways
Govern every LLM, MCP, and agent with guardrails at every level
40+ built-in guardrails, including PII masking, URL and content validation, and semantic prompt validation, enforce policy at the organization, agent, MCP, and LLM levels, mapped to the OWASP Top 10.
Monitoring & evaluations
See exactly what your agents did, and how well they're doing it
End-to-end OpenTelemetry tracing and 24 built-in plus custom evaluations show what an agent did and how well it's performing, so audit and governance questions have a defensible answer.
Lifecycle management
Suspend, version and sandbox every agent
Every agent gets a versioned path from development to staging to production. A single click suspends any agent. Sandbox environments add containment that limits rogue agent impact.
Analyst recognition
Forrester's Agent Control Plane Landscape report
WSO2 is named among the notable vendors in Forrester's Agent Control Plane Solution Landscape Report, Q2 2026.
Deployment options
Run it your way.
WSO2 products are architected to deploy wherever your infrastructure lives: on-premises, private cloud, public cloud, or fully managed SaaS. No lock-in. No compromises.
Self-hosted
Full control over your stack. Deploy directly to your own servers, bare metal, cloud, or Kubernetes environment. Your data never leaves your perimeter.
- Complete data sovereignty
- Air-gapped environment support
- Kubernetes, Docker, VM, or bare metal
- Bring your own CI/CD pipeline
SaaS / Cloud
Zero infrastructure to manage. WSO2 handles provisioning, upgrades, scaling, and availability. Get started in minutes on Choreo or WSO2's cloud offerings.
- 99.99% SLA with automated failover
- Continuous updates, zero downtime
- Multi-region availability
- Pay-as-you-grow pricing
Your vendor choice shouldn't determine your deployment requirements. Evaluate WSO2 in the environment that makes sense for you. No constraints, no artificial limitations.
Frequently asked questions
An agent control plane is the governance layer that sits above every AI agent an enterprise runs, giving identity, guardrails, and observability to the entire fleet from one system instead of governing each agent, framework, and deployment separately. Forrester and Gartner both recognize it as its own category, distinct from an AI gateway, identity system, or observability tool alone.
An AI gateway manages traffic and policy at the request level. An observability tool tracks model-level performance after the fact. An agent control plane covers the full agent lifecycle, identity, guardrails, observability, and lifecycle management, across every framework and deployment, from one system.
Most enterprises govern agents by stitching together a gateway, an identity system, and an observability tool bought for separate jobs, none of which cover the full agent lifecycle. Gartner estimates more than 40% of agentic AI projects will be cancelled by the end of 2027, largely for lack of exactly this kind of governance model.
Look for identity built for agents rather than borrowed from human or service accounts, guardrails enforced once instead of per team, full lifecycle tracing and evaluation, and framework-agnostic support so adopting it doesn't require standardizing on one vendor's stack.
Agent Manager can be either self-hosted or SaaS. Self-hosted deployment is the best fit for highly regulated industries, while the SaaS deployment means WSO2 hosts and maintains Agent Manager for you. Both options offer the full control plane, including lifecycle management, observability, guardrails, identity, and evaluations.