Choosing an Agent Control Plane: Governance for Production Agents
A practical guide to selecting between WSO2 Agent Manager, Lyzr Control Plane, Akuity, and StackGen for governing production AI agents across frameworks, models, and deployments.
Choosing an Agent Control Plane: Governance for Production Agents
Why you need an agent control plane
As agents move from prototype to production, a gap emerges between what agents can do and what governance infrastructure exists to control them. Gartner predicts the average Fortune 500 will have 150,000+ agents by 2028, while only 13% of organizations think they have the right governance in place.
Without a control plane, you face:
- Agent sprawl: Agents nobody can fully see, govern, or shut down
- No agent identity: Agents squeezed into human identity categories, with no policy layer when they call tools or MCP servers
- No audit trail: You cannot distinguish agent actions from human actions
- Framework lock-in: Governance built into one framework breaks when you adopt another
- No lifecycle management: Deploy, operate, suspend, and decommission are ad hoc
An agent control plane is the governance layer that sits between your agents and everything they touch — providing identity, policy, sandboxing, observability, and audit across any framework or model.
The decision framework
1. What is your governance scope?
| Scope | What you need | Example tools |
|---|---|---|
| Identity + policy only | Agent identity, RBAC, audit logging | Akuity (for CD pipelines) |
| Full lifecycle | Deploy, operate, suspend, evaluate, decommission | WSO2 Agent Manager, Lyzr |
| DevOps-specific | Agent governance for CI/CD and infrastructure | Akuity, StackGen |
| Self-improving agents | Continual learning + evaluation gates | Reef (infrastructure, not a control plane) |
2. What frameworks do you need to support?
- Single framework: Any control plane works; even framework-native governance may suffice
- Multiple frameworks (LangChain + Bedrock Strands + Microsoft Agent Framework): You need a framework-agnostic control plane (WSO2, Lyzr)
- Bring-your-own agents: Look for MCP-native control planes that accept any MCP-capable agent (Akuity)
3. What is your deployment model?
| Model | Best for | Examples |
|---|---|---|
| Self-hosted (open source) | Data sovereignty, regulated industries | WSO2 (Apache 2.0), Akuity |
| Managed SaaS | Teams without infra capacity | Lyzr, StackGen |
| Kubernetes-native | Platform teams in cloud environments | WSO2, StackGen (Aiden OS) |
4. What governance features do you need?
- Agent identity: Per-agent, per-environment identity controls
- MCP governance: Policy layer for MCP server interactions
- Sandboxed runtime: Secure execution with suspension capability
- Evaluation gates: Block bad agents before production
- Audit logging: Every action attributed to the right agent
- Hallucination/PII guards: Runtime detection of unsafe outputs
The control planes compared
WSO2 Agent Manager (GA September 15, 2026)
- Scope: Full lifecycle, framework-agnostic
- Deployment: Self-hosted (Apache 2.0) or managed SaaS
- Identity: Per-agent, per-environment identity controls
- MCP governance: Native, with OAuth 2 extension for MCP
- Runtime: Sandboxed, Kubernetes-native with real-time suspension
- Standards: OpenTelemetry, MCP, OAuth2 — co-authored OpenID Foundation whitepaper
- Best for: Enterprise platform teams needing sovereign, framework-agnostic agent governance
Lyzr Agent Control Plane (September 4, 2026)
- Scope: Full lifecycle with deployment pipeline
- Deployment: Managed SaaS
- Pipeline: Git-driven — security scans, build, non-prod deploy, registry, Okta identity, eval gate, approval, production
- Runtime governance: Traces, hallucination/PII guards, RBAC, immutable audit logs
- Best for: Teams that want an automated no-touch pipeline from agent code to production with governance built in
Akuity Agentic Control Plane (September 14, 2026)
- Scope: DevOps/CD pipeline governance
- Deployment: Akuity Platform (SaaS)
- Identity: Agent acts as the connected human, with guardrail levels
- MCP: Native MCP server for Claude, Cursor, Codex
- Best for: Argo CD / Kargo shops that want to safely let coding agents work on their delivery pipeline
StackGen Autonomous Operations Factory (September 15, 2026)
- Scope: Infrastructure operations governance
- Deployment: Preview (AWS, Azure, GCP, Oracle)
- Core: Aiden OS with shared world model + policy harness
- Agents: Four built-in Aiden agents (infra ops, DevOps, SRE, observability) + bring-your-own
- Best for: Teams that want specialized agents for infrastructure operations under unified governance
Decision tree
Do you need to govern agents across multiple frameworks?
- Yes → WSO2 Agent Manager or Lyzr
- No, single framework → Continue
Is data sovereignty / self-hosting required?
- Yes → WSO2 Agent Manager (Apache 2.0, deploy anywhere)
- No → Continue
Is your primary use case DevOps / CI/CD?
- Yes → Akuity (if Argo CD/Kargo) or StackGen (if broader infra ops)
- No → Continue
Do you want an automated deployment pipeline with governance built in?
- Yes → Lyzr Control Plane
- No → Continue with WSO2 or evaluate based on specific feature needs
Do you need MCP-level governance specifically?
- Yes → WSO2 Agent Manager (native MCP governance with OAuth 2 extension)
- No → Any option works
The takeaway
The agent control plane market is differentiating along three axes:
- Scope — identity-only vs full lifecycle vs domain-specific (DevOps, infra ops)
- Deployment — sovereign self-hosted vs managed SaaS
- Framework support — single-framework vs framework-agnostic
Match the control plane to your governance scope first, then optimize for deployment model and framework support. The cost of not having a control plane is agent sprawl — agents nobody can see, govern, or shut down — and that cost grows with every agent you deploy.