What is an Asset?
This article describes what an asset is in Spirion Sensitive Data Platform, as well as its purpose and function.
An Asset or Data Asset is a location, local, or remote (such as cloud-based), that contains Targets (a Target is any data location inside an Asset that Spirion Sensitive Data Platform can scan).
- For example, an SQL server (Asset) with multiple SQL Databases hosted on it (Targets)
A location can be both an Asset and a Target.
- For example, a workstation (Asset and single Target)
Purpose and Function
The Data Assets and Targets screen is where you can view and manage Assets and Targets.
- Assets
- Locations, physical or cloud, that contain Targets.
- Examples:
- A SQL Server hosted on-premise at your business
- A Dropbox account you maintain.
- Contain single or multiple Targets
- Targets
- Any data locations within an Asset that SDP can scan.
- They can be in a “physical” box that can be scanned or in a cloud Asset that contains data.
- Examples:
- Targets in Local Assets: SQL Databases on a local SQL server
- Targets in Cloud Assets:
- Databases on Amazon S3, Azure Blob, Bitbucket, Google Drive
- File Directories in SharePoint
- Targets in Email:
- Exchange On-Prem email which is housed on a local server
- Exchange Online email which is housed in the cloud
- Asset/Target Examples:
- An SQL server (Asset) with multiple SQL Databases hosted on it (Targets)
- A SharePoint Online instance (Asset) with multiple sites (Targets)
- A Workstation (Asset and single Target), or a Azure Data lake (Asset that can’t be scanned)
Asset Management
Assets can be created, viewed, searched for, and managed on the Data Assets and Targets screen, under Data Asset Inventory in the left navigation:
Assets
The ASSETS tab displays in a table with these column headings:
- Asset Name
- Asset Type
- Admin Department
- Asset Owner
- Hosting Location
- Status
- SDV3 Risk
- More options 3 vertical dots
The Asset information in the table is automatically populated by the Scan history.
- For examples and more information, see Working with Data Assets and Targets.