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Ensure your compliance in
Microsoft Teams with Information
Protection and Governance
Jasper Oosterveld
Microsoft MVP & Consultant, InSpark @ Amsterdam
The power & business value of Microsoft
Teams
The power of Microsoft Teams
Chat Meet Call Collaborate Automate
Business value of Microsoft Teams
Integration Productivity Safe & secure
HOLD YOUR HORSES!
Our customer also worry about Teams
Explosion Managing Adoption &
change
management
External
access
Being
compliant
You are here to help!
Staying Compliant with Microsoft Teams
Trends
Hybrid Workplace Data explosion Legislation and
regulations
Challenges
Retain &
delete
Classify &
Protect
Hidden
data
Risks
Fines Reputational
damage
Bankruptcy
Real world examples
• OLVG receives a fine of 440,000 euros for unlawful access to sensitive
information.
• Personal data of 65,000 civil servants on the street due to data leak at
the ministry.
• Over 100,000 resumes were illegally downloaded at Employee Insurance
Agency.
Three crucial questions
1. Do you know where your business’s critical and sensitive data resides
and what is being done with it?
2. Do you have control of this data as it travels inside and outside of your
organization?
3. Do you know what lifecycle regulations are applicable to your
organization?
Microsoft 365 Purview
Information
Protection
Data Loss
Prevention
Data
Lifecycle
Management
Define your Information Classification Policy
• Company data
specifically
prepared and
approved for
public use.
• Company data
intended for
general use
within the
organization.
• Company data
specific to
internal
employees or
specific
individuals or
organizations.
Public Internal Confidential
Define your Information Protection Policy
Company data is specifically prepared and approved for public use.
• Accessible to all employees (internal) or authorized individuals (external).
• No security.
Company data is intended for general use within and outside the organization (business partners).
• Accessible to all employees.
• Data is protected.
Internal
Public
Company data is intended for internal employees or specific individuals or organizations.
• Accessible for all employees (internal) or authorized persons (external).
• Data is protected.
Confidential
Who defined these policies?
Working with sensitivity labels
Scope
Sensitive
information
M365
Groups
Purview
Data Map
Labels and sensitive information
Encryption
Location
independent
Labels and Microsoft Teams
Conditional
access
Privacy
setting
Guest
access
External
sharing
Applying labels
Manually Automatically
Automatically & Sensitive Information Types (SIT)
“Pattern-based classifiers for sensitive content.”
Who is using sensitivity labels?
Scenario #1
• Megan wants to implement
sensitivity labels within Hammond
Robotics.
• With these labels, employees can
manually label (sensitive) content.
• It is crucial to automatically label all
information, from the MRVN
project.
• She wants to get insights in the
application of sensitivity labels.
Megan Bowen – CISO
Solution
• Let’s look!
Important information about labels
• AIP unified labeling client is in maintenance mode.
• Microsoft advice moving towards the built-in labeling within Office.
• Review the current options & limitations (see resources slide).
Scenario #2
• Alex wants a private & secure
collaboration space with
Microsoft Teams.
• It’s not allowed to add guests.
• External sharing is only allowed
with approved accounts
Alex Wilber – PM
Solution summary
• Let’s look!
Working with Data Loss Prevention
Data Loss Prevention
Identify Monitor Protect
The importance of DLP
Conscious
sharing
Unconscious
sharing
High-level overview
• Create a policy based on existing regulations (GDPR) or customize your
own.
• Select the location (M365, OnPrem, Devices, OS & non-MS cloud apps).
• Define your policy settings (conditions & actions).
• Test & deploy.
Who is using DLP?
Scenario #3
• Megan wants to show a warning
when employees post an IBAN
number in a chat message.
• She wants to prevent the
external sharing of files with an
IBAN number.
Megan Bowen – CISO
Solution summary
• Let’s look!
Working with Data Lifecycle Management
Data lifecycle management
1. Retain the content for a specified period (days, months & years).
2. Retain & automatically delete content after a specified period (days,
months & years).
3. Automatically delete content after a specified period (days, months &
years).
4. Retain content forever.
Importance of Data Lifecycle Management
Govern
lifecycle
Regulatory
requirements
Applying Data lifecycle management
Policy Labels Record
Management
Who is using Data Lifecycle Management?
Scenario #4
• Alex wants to preserve all
content from Project Raven for
an indefinite amount of time.
Alex Wilber – PM
Solution summary
• Let’s look!
Conclusion
Final advise
Define
policies
Pilot Governance Adoption & change
management
Licensing
Contact details
@jappie1981 in/jasperoosterveld
Resources: Information Protection (1)
• Announcing AIP unified labeling client maintenance mode and sunset of
mobile viewer
• Choose Microsoft Purview Information Protection built-in labeling for
Office apps over the Azure Information Protection (AIP) add-in -
Microsoft Purview (compliance) | Microsoft Docs
• Microsoft Information Protection in Microsoft 365
• Learn about sensitivity labels
Resources: Information Protection (2)
• Apply a sensitivity label to content automatically
• Common scenarios for sensitivity labels
• Microsoft Information Protection SDK
• View label usage with label analytics
• Scoping Office 365 Sensitivity Labels
• Blog Joanne C Klein
Resources: Data Loss Prevention
• Overview of data loss prevention
• Create a custom sensitive information type in the Security &
Compliance Center
• Sensitive information type entity definitions
• Data loss prevention and Microsoft Teams
Resources: Data Lifecycle Management
• Learn about retention for Microsoft Teams
• Learn about retention policies and retention labels
• Learn about retention for SharePoint and OneDrive
• Learn about records management in Microsoft 365
• Using Trainable Classifiers to Assign Office 365 Retention Labels
• View label usage with label analytics

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