Stratoscope vs. Azure Policy
Azure Policy enforces declarative rules at the control plane. Stratoscope governs the things Policy can't — WAF posture, cost intelligence, architectural drift, and human-approved remediation for the environment you already have.
The short answer
Azure Policy is a guardrail system — it prevents non-compliant resources from being created or flags them when they drift. Stratoscope is a governance platform — it manages the broader question of whether your Azure environment is well-architected, cost-efficient, and remediating the right things in the right order. Policy governs new deployments; Stratoscope governs the environment you already have.
Different tools, different layers
Azure Policy governs deployments
Policy definitions run at the Azure Resource Manager layer — when a resource is created or modified, Policy evaluates the request and can deny it, audit it, or automatically remediate it via DeployIfNotExists tasks.
It's the right tool for enforcing “no resources outside approved regions” or “all VMs must have a specific tag” at creation time.
Stratoscope governs the running environment
Stratoscope operates at the governance cycle layer — continuously assessing your existing environment against WAF pillars, cost benchmarks, and your own standards. It surfaces findings, proposes multi-step remediation plans, and executes with your approval.
It's the right tool for “our environment has 847 resources, here are the 12 that need attention this week, in priority order, with the plan to fix them.”
What Azure Policy can't cover
Feature comparison
| Capability | Azure Policy | Stratoscope |
|---|---|---|
| Primary function | Declarative guardrails at the control plane | AI-guided closed-loop governance across discovery, assessment, remediation, and verification |
| Enforcement model | Deny/audit/modify at resource creation or modification | Propose → approve → execute → verify at governance cycle time |
| Drift detection | Compliance state reflects current policy assignments | Sweep-by-sweep diff: tag changes, SKU changes, permission changes, new resources |
| Remediation | DeployIfNotExists + remediation tasks for supported resources | Multi-step AI-generated plans with exact commands, human approval at every step |
| Coverage scope | What can be expressed as Azure Policy definitions | All 5 WAF pillars, cost intelligence, permission posture, architectural patterns |
| Human approval | Not applicable — enforcement is automatic | Required for every mutating operation. Cannot be bypassed. |
| Audit trail | Policy compliance log + Activity Log | Finding → proposal → approval → execution → ARM verification, queryable from console |
| Context awareness | Policy definitions are context-free | Informed by your architecture docs, runbooks, and your team's past decisions |
| Cost governance | Not in scope | FOCUS-standard cost data, period-over-period anomaly detection, discount intelligence |
| Change control fit | Enforcement is automatic — doesn't fit traditional change control | Every fix is a proposed change awaiting human approval — fits change control natively |
Govern the environment you already have
Policy guards the front door. Stratoscope handles everything already inside.
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