titleSuffix: Microsoft Entra ID Governance
description: Learn how to interpret tenant discovery data, signals, and metrics in Microsoft Entra Tenant Governance to assess related tenants
ms.topic: how-to
ms.date: 03/05/2026
---
# Interpret tenant discovery data
- **How many related tenants exist**
- **Which signals caused discovery**
- **Whether the tenant appears active or historical**
This step establishes scope, not judgment.
A tenant with recent, increasing activity typically warrants closer scrutiny than one with only historical, initial signals. For example, a tenant with active B2B guest users, active administrative sign-ins, and a shared billing account represents a stronger operational relationship. Compare this to a tenant surfaced only through historical B2B guest user presence captured at the time of discovery.
## Step 4: Classify the related tenant
Based on signals and metrics, classify each related tenant into one of three practical categories.
titleSuffix: Microsoft Entra ID Governance
description: Learn how to interpret tenant discovery data, signals, and metrics in Microsoft Entra Tenant Governance to assess related tenants
ms.topic: how-to
ms.date: 07/14/2026
---
# Interpret tenant discovery data
- **How many related tenants exist**
- **Which signals caused discovery**
- **Whether the tenant appears active or historical**
- **Whether the tenant is Microsoft managed** (a Microsoft-owned infrastructure tenant)
This step establishes scope, not judgment.
A tenant with recent, increasing activity typically warrants closer scrutiny than one with only historical, initial signals. For example, a tenant with active B2B guest users, active administrative sign-ins, and a shared billing account represents a stronger operational relationship. Compare this to a tenant surfaced only through historical B2B guest user presence captured at the time of discovery.
## Step 4: Drill into a signal to see the underlying entities
Discovery metrics are aggregated to orders of magnitude. For example, a returned value of 100 represents an actual value between 100 and 999. To move from a high-level count to specific evidence, drill into a signal to see the underlying users or applications that contribute to it.