30 on thursday - data loss prevention in sharepoint 2016 - protect your sensitive information -...
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Data Loss Prevention in SharePoint 2016: Protect Your Sensitive Information
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Introduction• ‘30 on Thursday’ Webinar Series
• 30 minute webinar series• All things SharePoint & Enterprise Content Management!
• Upcoming Webinars:• June 9: “SharePoint 2016 and PowerApps Revealed!”• July 14: “Capacity Planning: An Introduction on How to Size and
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Date Time LocationTuesday, May 17 8:30-10:30 am Edina, MNTuesday, May 17 12:00-2:00 pm McLean, VATuesday, May 17 12:00-2:00 pm Atlanta, GAWednesday, May 25 8:30-10:30 am Chicago, ILWednesday, May 25 12:00-2:00 pm Houston, TX
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Today’s Presenter
Antonio MaioMicrosoft SharePoint MVP (5x)Senior Manager & Senior SharePoint ArchitectProtiviti
LET’S GET STARTED!
Data Loss Prevention (DLP)Goals• Protect the business (legal action, sanctions, loss of reputation)• Comply with regulations and business standards
DLP is about Finding and Protecting sensitive information• Personally Identifiable Information (PII)• Payment Credit Industry Data (PCI, PCI DSS)• Financial Data• Health Insurance Data
etc…
Data Loss Prevention in Office 365Available through…
• Exchange Admin Center• Compliance Center (Protection
Center)
Data Loss Prevention in SharePoint 2016Available through…
• Improved eDiscovery Site Collection• New Compliance Policy Center Site
Collection
SharePoint 2016DLP Policies for eDiscovery
eDiscovery Center• Create & run DLP Queries to identity sensitive data
• Save Queries• Export Data
• Highly dependent on SharePoint Search Index!
SharePoint 2016DLP Policies for Compliance
Compliance Center• Create DLP Policies to monitor and enforce protection
of sensitive information• Provide administrator notification (via email)• Provide policy tips to users and owners• Block access to files containing sensitive content
• Assign policies to existing site collections• Highly dependent on SharePoint Search Index!
SharePoint 2016 DLP Prerequisites• Create a Search Service Application (mandatory)
• Start the search service, Define a crawl schedule, Perform a full crawl• Must have a healthy search index and crawl
• Configure out-going email (recommended)• Turn on Usage reports (recommended)• Create the eDiscovery or Compliance Center site collections (mandatory– both
not needed)• eDiscovery – for DLP Queries to identify where sensitive data exists• Compliance Policy Center – for DLP Policies to monitor or enforce policies
• Assign permissions to Compliance team through the Site Collection Members group (recommended)
Creating the Compliance Center• Create a new Site Collection• Site Template - Select the Enterprise tab• Select Compliance Policy Center template
• Only One Compliance Center Site Collection per Web Application
• Compliance Center cannot cross Web Application boundary(eDiscovery Center can query across Web Applications)
Create DLP Policies• Create DLP Policies using Policy Templates
• 10 policy templates available• Looking for 10 sensitive data types • U.S. / U.K. Passport Number
• U.S. Individual Taxpayer Identification Number (ITIN)• U.S. Social Security Number (SSN)
• No health related data• Cannot customize policy templates or data types
Create DLP Policies• Create DLP Policies using Policy Templates
• 10 policy templates available• Looking for 10 sensitive data types • Credit Card Number
• U.S. Bank Account Number• U.S. Individual Taxpayer Identification Number (ITIN)• U.S. Social Security Number (SSN)
• No health related data• Cannot customize policy templates or data types
Create DLP Policies• Create DLP Policies using Policy Templates
• 10 policy templates available• Looking for 10 sensitive data types
• Credit Card Number
• No health related data• Cannot customize policy templates or data types
Create DLP Policies• Create DLP Policies using Policy Templates
• 10 policy templates available• Looking for 10 sensitive data types
• Credit Card Number• EU Debit Card Number• SWIFT Code
• No health related data• Cannot customize policy templates or data types
Create DLP Policies• Create DLP Policies using Policy Templates
• 10 policy templates available• Looking for 10 sensitive data types
• ABA Routing Number• Credit Card Number• U.S. Bank Account Number
• No health related data• Cannot customize policy templates or data types
Create DLP Policies• Create DLP Policies using Policy Templates
• 10 policy templates available• Looking for 10 sensitive data types
• U.K. National Insurance Number (NINO)• U.S. / U.K. Passport Number
• No health related data• Cannot customize policy templates or data types
Create DLP Policies• Create DLP Policies using Policy Templates
• 10 policy templates available• Looking for 10 sensitive data types
• SWIFT Code• U.K. National Insurance Number (NINO)• U.S. / U.K. Passport Number
• No health related data• Cannot customize policy templates or data types
Create DLP Policies• Create DLP Policies using Policy Templates
• 10 policy templates available• Looking for 10 sensitive data types
• SWIFT Code
• No health related data• Cannot customize policy templates or data types
Create DLP Policies• Create DLP Policies using Policy Templates
• 10 policy templates available• Looking for 10 sensitive data types
• U.S. Social Security Number (SSN)
• No health related data• Cannot customize policy templates or data types
Create DLP Policies• Create DLP Policies using Policy Templates
• 10 policy templates available• Looking for 10 sensitive data types
• Credit Card Number• U.S. Bank Account Number• U.S. Driver's License Number• U.S. Social Security Number (SSN)
• No health related data• Cannot customize policy templates or data types
Create DLP Policies• Create New Policies
• Provide Name• Select 1 of 10 templates (no customization)• Select # of instances of sensitive data• Email address to send incident reports• Select to Notify with Policy Tip• Select to Block Access
• Assign Policies to site collections(one at time)
Avoiding False PositivesLooking for More Than Regular Expressions
Finding Credit Card Numbers• Format• Pattern• Checksum (Luhn Algorithm)• 191 related keywords• Confidence Definition
• 85% confident if all found within 300 chars• 65% confidence if number found & checksum
passes
Full Definitions found here:https://support.office.com/en-ie/article/What-the-sensitive-information-types-in-SharePoint-Server-2016-look-for-ec9fdbe2-bb77-455f-a2f6-407a4f54fca5
Finding US Driver’s License Numbers• Format – State Dependent• Pattern• 16 related abbreviations & 75 keywords• State name & State Abbreviation• Confidence Definition
• 75% confident if all found within 300 chars• 65% confidence if all found (except keywords) within
300 chars
Avoiding False PositivesLooking for More Than Regular Expressions
Full Definitions found here:https://support.office.com/en-ie/article/What-the-sensitive-information-types-in-SharePoint-Server-2016-look-for-ec9fdbe2-bb77-455f-a2f6-407a4f54fca5
DEMONSTRATION
Important Technical Notes• If its not in the search index DLP policies will not be enforced
• Consider your crawl schedule• 4 Timer Jobs used to enforce policies
• Policies not enforced on new documents until search crawl and timer jobs complete• Timeliness of policy enforcement depends on priority of policy template• Can take up to 24 hours
• Cannot enforce policies on list items – only documents (not yet proven)
Final Thoughts• Data Loss Prevention just one critical part of
securing sensitive data• Identifying sensitive data, monitoring its usage and enforcing policies• DLP requires regular management of policies – refine to avoid noise of false
positives
• SharePoint 2016 DLP is a great start!• Start learning and testing SharePoint 2016 DLP
Today• Critical to have healthy search index• Test policies in Staging before deploying to Prod
Questions?Antonio [email protected] @AntonioMaio2
ECM.Protiviti.com
Julia [email protected] @ProtivitiECM
Thank You!