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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.

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Verified 42 days ago

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

  1. Do you need to govern agents across multiple frameworks?

    • Yes → WSO2 Agent Manager or Lyzr
    • No, single framework → Continue
  2. Is data sovereignty / self-hosting required?

    • Yes → WSO2 Agent Manager (Apache 2.0, deploy anywhere)
    • No → Continue
  3. Is your primary use case DevOps / CI/CD?

    • Yes → Akuity (if Argo CD/Kargo) or StackGen (if broader infra ops)
    • No → Continue
  4. 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
  5. 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:

  1. Scope — identity-only vs full lifecycle vs domain-specific (DevOps, infra ops)
  2. Deployment — sovereign self-hosted vs managed SaaS
  3. 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.