Azure Information Protection

E724321

Microsoft security product cloud-based information protection solution data classification and labeling service

Azure Information Protection is a Microsoft cloud-based solution that classifies, labels, and protects sensitive documents and emails through encryption and rights management across organizations.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (1)

Label	Occurrences
Azure Information Protection canonical	1

Statements (45)

Predicate	Object
instanceOf	Microsoft security product ⓘ cloud-based information protection solution ⓘ data classification and labeling service ⓘ
deploymentModel	cloud-based ⓘ hybrid ⓘ
developer	Microsoft ⓘ
feature	content marking with headers and footers ⓘ document tracking ⓘ integration with Microsoft 365 compliance center ⓘ policy-based classification rules ⓘ revocation of access ⓘ scanner for on-premises repositories ⓘ sensitivity labels ⓘ watermarking ⓘ
goal	prevent data leakage ⓘ protect sensitive data throughout its lifecycle ⓘ support regulatory compliance ⓘ
hasCapability	applies encryption ⓘ applies rights management ⓘ classifies sensitive information ⓘ enforces access controls ⓘ labels sensitive information ⓘ protects documents ⓘ protects emails ⓘ supports automatic classification ⓘ supports manual classification ⓘ supports recommended classification ⓘ
integratesWith	Exchange Online NERFINISHED ⓘ Microsoft Teams NERFINISHED ⓘ OneDrive for Business NERFINISHED ⓘ SharePoint Online NERFINISHED ⓘ
partOf	Microsoft Azure NERFINISHED ⓘ Microsoft Information Protection NERFINISHED ⓘ
rebrandedAs	Microsoft Purview Information Protection NERFINISHED ⓘ
supportsFormat	Office documents ⓘ PDF documents ⓘ emails ⓘ
supportsPlatform	Microsoft 365 NERFINISHED ⓘ Microsoft Office NERFINISHED ⓘ Windows ⓘ
targetUser	enterprise organizations ⓘ government organizations ⓘ regulated industries ⓘ
usesStandard	Azure Active Directory authentication ⓘ
usesTechnology	Azure Rights Management NERFINISHED ⓘ

How these facts were elicited

The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.

Instruction

You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10.

# Requirements
- If you don't know the subject at all, return an empty list.
- If the subject is not a named entity, return an empty list.
- Include at least one triple where predicate is "instanceOf".
- Do not get too wordy.
- Separate several objects into multiple triples with one object.

Input

Subject: Azure Information Protection
Description of subject: Azure Information Protection is a Microsoft cloud-based solution that classifies, labels, and protects sensitive documents and emails through encryption and rights management across organizations.

Referenced by (1)

Full triples — surface form annotated when it differs from this entity's canonical label.

Active Directory Rights Management Services → successor → Azure Information Protection ⓘ