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Agent365 Architecture and Control Plane

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GitHub Cloud2BR OSS - Learning Hub

Last updated: 2026-08-04


References

Design objective

Design Agent365 as an enterprise control plane, not a single agent product. The control plane must provide consistent observability, governance, and security across all participating agent types.

Microsoft Agent 365 documentation hub banner

Source: Microsoft Agent 365 documentation.

Reference architecture

Layer Responsibility Typical owner
Experience End-user agent interaction channels Product or business teams
Agent platform Agent runtime, orchestration, skills, tools Platform engineering
Control plane Registry, map, lifecycle, policy templates AI (artificial intelligence) admin and security governance
Identity and policy Authentication, conditional access, role control Identity and security operations
Data and compliance Classification, DLP (data loss prevention), retention Data security and compliance
Threat defense Runtime detection and incident investigation Security operations center

Core design decisions

  1. Define control scope: Microsoft-native agents only, or Microsoft plus third-party and custom agents.
  2. Define trust boundary: what identities can register, publish, and execute agents.
  3. Define operational boundary: which teams own onboarding, policy, and incident response.
  4. Define evidence boundary: what telemetry and records are required for auditability.

Deployment model options

Model Description Tradeoff
Centralized One enterprise Agent365 program and standards board Strong consistency, lower local autonomy
Federated Shared standards, domain-level execution by business units Better velocity, higher governance complexity
Hybrid Global mandatory controls with federated delivery lanes Balanced risk and agility

Architecture controls checklist

  • Registry covers every production agent instance.
  • Every agent has an accountable business owner and technical owner.
  • Identity model is documented for each agent type.
  • Allowed data sources and prohibited data paths are defined.
  • Security monitoring and incident handoff are documented.
  • Runtime and lifecycle actions are constrained by approval policy.

Anti-patterns to avoid

  • Treating agent control as a one-time inventory project.
  • Allowing unmanaged tool integrations without policy review.
  • Mixing ownership of build, approve, and audit roles in one account.
  • Rolling out enterprise-wide before pilot evidence proves control quality.

Business example

A regulated enterprise starts with a federated pilot across finance and customer support. It standardizes mandatory control metadata in Agent365, keeps domain autonomy for implementation, and introduces central review only for high-risk tool access and data-handling changes.