Securing Your Data Estate with Purview
Description
As AI adoption grows, so does the importance of strong governance and compliance. Let's explore how Purview can support you Fabric environment!
We’ll cover key features like Data Loss Prevention (DLP), sensitivity labeling, and data access governance. What they do, and how they work in real-world scenarios, and where there may be opportunities to further mature your implementation.
Key Takeaways
- Let's explore how Purview can support you Fabric environment!
- We’ll cover key features like Data Loss Prevention (DLP), sensitivity labeling, and data access governance
- What they do, and how they work in real-world scenarios, and where there may be opportunities to further mature your implementation
- Feature-oriented — focuses on capabilities and live demos
My Notes
Action Items
- [ ]
Resources & Links
Slides
MARTHE MOENGEN
Gal in a Cube
@GuyInACube
www.data-ascend.com
Data Architect
Sopra Steria
Fabric is changing our way of working
Anyone can be a data engineer
Data Ecosystem
Sources
Reports
Curation
Data Movement
Data One
QualityLake
Increases
Microsoft Fabric enables business
analysts to do more closer to the source
Fabric is changing our way of working
Be ready - The Future of AI
Data
Governance
AI
Data Quality
Data Security
Interoperability
Architecture
Master Data Management
+++
Data
Governance
Data
Security
Data
Compliance
Information
Protection
Data
Security
Data Loss
Prevention
Data
Explorers
Information
Protection
Goal: Categorize and Protect sensitive data
Policies
Sensitivity labels
Public
Internal
Confidential
Information
intended for
anyone
Nonconfidential
business
information
Sensitive
business or
personal data
Internal
Confidential
Confidential
Public
Information
Protection
Goal: Categorize and Protect sensitive data
Policies
Sensitivity labels
Public
Internal
Confidential
Information
intended for
anyone
Nonconfidential
business
information
Sensitive
business or
personal data
Internal
Confidential
Confidential
Public
Information
Protection
Goal: Categorize and Protect sensitive data
Policies
Sensitivity labels
Default
(Domain level)
Ensure
comprehensive
protection
Mandatory
Programmatic
Has to set a label
when saving a file
If you want to start
your label journey
Downstream
inheritance
Ensures data stays
protected throughout
its journey
Information
Protection
Goal: Categorize and Protect sensitive data
Sensitivity labels
Each policy is
associated to a
label
Policies
Information
Protection
Data
Security
Data Loss
Prevention
Data
Explorers
Data Loss
Prevention
Policy
Goal: Detect and Protect sensitive data
Monitor
Detect
Action
• User notification
• Generate an alert in the
Purview portal or email
• Restrict access
Data
Explorers
Goal: Monitor
Sensitivity label on a
Fabric item is applied,
changed, or removed.
If data in Fabric is
published, updated,
connected to a new
source, etc.
Now what?
Take it step by step
Sensitivity labels
Start with a test group
DLP Policy
Run in simulation mode
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