Software discovery and normalization

---
title: Software discovery and normalization
description: Identify all software installed within your organization's IT environment, including details such as publisher, product, and version. Then, standardize and validate this discovered data to ensure accuracy and consistency through software normalization.
locale: en-US
canonical_url: https://www.servicenow.com/docs/r/australia/it-asset-management/software-asset-management/c\_SAMDiscovery.html
release: australia
product: Software Asset Management
classification: software-asset-management
topic_type: concept
last_updated: "2026-09-10"
reading_time_minutes: 1
breadcrumb: [Exploring Software Asset Management, Software Asset Management, IT Asset Management, Asset Management]
---

# Software discovery and normalization

Identify all software installed within your organization's IT environment, including details such as publisher, product, and version. Then, standardize and validate this discovered data to ensure accuracy and consistency through software normalization.

-   **[Software discovery](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/it-asset-management/software-asset-management/sam-software-discovery.md)**  
After you've imported your entitlements, use ServiceNow Discovery or Microsoft SCCM to discover software installations in your environment and transfer that data into the ServiceNow AI Platform.
-   **[Software normalization](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/it-asset-management/software-asset-management/sam-normalization.md)**  
Standardize discovered software model data within the Software Asset Management application through the process of software model normalization.
-   **[Normalization suggestions for discovery models](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/it-asset-management/software-asset-management/normalization-suggestions.md)**  
Normalization suggestions are created for all manually normalized discovery models. You can accept or reject these suggestions.
-   **[Normalization of discovery models using machine learning](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/it-asset-management/software-asset-management/ml-learning-sam.md)**  
Use machine learning to improve your normalization rates in real time by normalizing your unrecognized discovered software.
-   **[Duplicate software installations in the Software Asset Management application](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/it-asset-management/software-asset-management/deduplicating-software-installations-sam.md)**  
Duplicate software installation are created when you discover software installations with the same publisher, product, version, and edition through multiple discovery sources.
-   **[Software install deduplication](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/it-asset-management/software-asset-management/deduplication-rule.md)**  
Software install deduplication consolidates redundant installation records for the same product on a single device, improving data accuracy and license compliance.

**Parent Topic:**[Exploring Software Asset Management](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/it-asset-management/software-asset-management/explore-sam-workspace.md)