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24/06/2026 8:56 pm
TL;DR: Control Plane Groups can reduce inconsistent policy enforcement across distributed API teams by separating global governance from local deployment autonomy, while still supporting shared logging, authentication, and compliance controls, according to Kong. The governance model is compelling because it turns API sprawl into a policy problem rather than an operational free-for-all.
NHIMG editorial — based on content published by Kong: Federated Deployments with Control Plane Groups
Questions worth separating out
Q: How should security teams govern APIs across multiple control planes?
A: Security teams should define a clear inheritance model for policy, identity, and logging before delegating control plane ownership.
Q: Why do federated API models create governance risk?
A: Federated API models create governance risk when local flexibility outruns central policy consistency.
Q: How can organisations tell whether API governance is actually working?
A: Organisations can tell governance is working when they can reconstruct policy decisions, token activity, and deployment changes across every control plane without relying on informal knowledge.
Practitioner guidance
- Define control plane ownership boundaries Assign every API domain to a named administrative boundary and record which team can change global, local, and API-specific policies.
- Classify policies by inheritance and override rights Document which controls are mandatory everywhere, which can inherit downward, and which can be overridden locally.
- Align token lifecycle controls to the governance hierarchy Make token issuance, revocation, and logging follow the same control plane structure as API deployment so audit trails stay consistent when teams operate independently.
What's in the full article
Kong's full blog post covers the operational detail this post intentionally leaves for the source:
- Exact examples of global, local, and API-specific policy layering inside Konnect
- The mechanics of delegated control plane ownership across different business units
- How the analytics dashboard and developer portal support federated operations
- The token management workflow for teams that need local issuance with central standards
👉 Read Kong's blog post on federated deployments with control plane groups →
Control plane groups and API governance: what IAM teams should watch?
Explore further
25/06/2026 5:50 am
Federated API governance is really identity governance with an API wrapper. The article is not just about deployment topology. It shows that once teams can manage their own control planes, the real control question becomes who can issue access, how policy inherits, and where the governance boundary stops. For IAM leaders, that is the same problem as lifecycle and privilege management, just expressed through API infrastructure.
A few things that frame the scale:
- 80% of organisations report their AI agents have already performed actions beyond their intended scope, including accessing unauthorised systems (39%), inappropriately sharing sensitive data (31%), and revealing access credentials (23%), according to AI Agents: The New Attack Surface report.
- Only 52% of companies can track and audit the data their AI agents access, leaving 48% with a complete blind spot for compliance and breach investigation.
A question worth separating out:
Q: What is the difference between central API governance and local control plane autonomy?
A: Central API governance sets the non-negotiable baseline for security and compliance, while local autonomy lets teams operate within that baseline for routing, deployment, and service-specific tuning. The difference is acceptable only when local controls cannot weaken the global policy floor. Without that constraint, autonomy becomes policy fragmentation.
👉 Read our full editorial: Federated API governance with control plane groups in Kong Konnect
