A healthcare organization uses Microsoft Purview to protect patient health information (PHI). They need to identify sensitive data stored in Microsoft SharePoint Online and prevent unauthorized sharing. Which two Purview solutions should they implement? (Select all that apply.)
Trap 1: Insider Risk Management
Insider Risk Management in Microsoft Purview is engineered to identify, investigate, and act on potentially malicious or inadvertent insider activities that could lead to data exfiltration or policy violations. It analyzes user behavior, such as unusual download patterns or access to sensitive data, using machine learning to detect risky sequences of events. However, it does not directly classify data content or proactively prevent sharing based on sensitivity labels; instead, it focuses on mitigating the risk posed by user actions.
Trap 2: Communication Compliance
Communication Compliance in Microsoft Purview focuses on detecting and investigating inappropriate or non-compliant communications within an organization. It monitors internal and external messages across platforms like Exchange Online and Microsoft Teams for policy violations such as harassment, discriminatory language, or regulatory breaches. While it analyzes message content, its primary purpose is not data classification or preventing data loss based on sensitivity labels, but rather behavioral and ethical compliance.
- A
Data Classification
Microsoft Purview's data classification capabilities are fundamental for identifying and categorizing sensitive information, such as Protected Health Information (PHI). This involves using sensitive information types, trainable classifiers, and sensitivity labels to automatically or manually tag content across services like SharePoint Online, OneDrive, and Exchange. Accurate classification is the prerequisite for applying appropriate protection and governance policies.
- B
Data Loss Prevention (DLP)
Data Loss Prevention policies in Microsoft Purview are designed to detect, monitor, and protect sensitive information from unauthorized sharing or transfer. These policies leverage the data classification (e.g., sensitivity labels, sensitive info types) to identify PHI and then enforce rules that can block external sharing links, prevent emailing sensitive files, or encrypt content based on predefined organizational policies, thereby preventing data exfiltration.
- C
Insider Risk Management
Why wrong: Insider Risk Management in Microsoft Purview is engineered to identify, investigate, and act on potentially malicious or inadvertent insider activities that could lead to data exfiltration or policy violations. It analyzes user behavior, such as unusual download patterns or access to sensitive data, using machine learning to detect risky sequences of events. However, it does not directly classify data content or proactively prevent sharing based on sensitivity labels; instead, it focuses on mitigating the risk posed by user actions.
- D
Communication Compliance
Why wrong: Communication Compliance in Microsoft Purview focuses on detecting and investigating inappropriate or non-compliant communications within an organization. It monitors internal and external messages across platforms like Exchange Online and Microsoft Teams for policy violations such as harassment, discriminatory language, or regulatory breaches. While it analyzes message content, its primary purpose is not data classification or preventing data loss based on sensitivity labels, but rather behavioral and ethical compliance.