Microsoft Purview Information Protection Features

Documents access and alterations of the database for analytics and reporting.

Unveils data connected to infrastructure and applications used to help manage and maintain compliance within complex IT systems.

Supports LDAP Protocol to enable access control and governance.

Protects sensitive data by disguising or encrypting data, keeping it usable by the organization and approved parties.

Manages policies for user data access and data encryption.

Stores data securely either on premise or in an adjacent cloud database to prevent loss of data at rest.

Constantly monitors acivity related to user behavior and compares activity to benchmarked patterns.

Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.

Includes funcationality to automatically discover and classify sensitive and other defined data.

Can protect both structured and unstructured data using automated discovery tools.

Includes encryption methods to protect data.

Protects data at rest, in transit, and in use.

Provides data masking functionality that hides specific data within a dataset based on the data's specific use policies.

Provides policies and access controls to ensure the data is only handled by permisssioned users and processes.

Includes audit and reporting functions to know exactly what actions have been taken on data, such as who has accessed it and when.

Analyzes data associated with denied entries and policy enforcement, giving information of better authentication and security protocols.

Monitors data quality and send alerts based on violations or misuse.

Allows for reporting and documentation of individual user behavior and privileges.

Uses machine learning to identify at-risk data.

Offers data loss prevention tools to protect data from leaving the environments it is allowed to.

Offers tools to help administrators visualize the flow of data, whether that be processes or data flows.

Offers machine learning to locate data security risks and make recommendations on how to mitigate those risks.

Allows data to move across multiple platform types and remain protected.

Searches structured, semi-structured, and unstructured data for sensitive data.

Offers contextual search functions to understand factors such as file type, sensitivity, user type, location, and other metadata.

Has template rules and pattern matching algorithms (PII, PCI, PHI and more)

Offers the option to create custom templates and rules based on department, user type and data type.

Offers false-positive management functions

Search multiple file types (images, PDFs, etc.) and repository locations (such as on-premise databases, cloud storage, email servers, websites, etc.)

Monitors data stores in real-time searching for newly created sensitive data.

Offers a dashboard showing specific location of sensitive data.

Facilitates compliance and enables adherence to common industry regulatory standards such as GDPR, CCPA, HIPAA, PCI DSS, ISO, and others.

Offers reporting functionality.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Anticipates needs and offers suggestions without prompting