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Page 1: “ “ Accidental email with attachment exposed hundreds of individuals’ names and Social Security Numbers… “ “
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Data Loss Prevention (DLP) in Microsoft Office 365Asaf KashiGroup Program ManagerMicrosoft

OFC-B319

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Large Retailer Leaks

Payment Information

via Email…“ “

Accidental email with attachment exposed hundreds of individuals’ names and Social Security Numbers…“ “

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Data Loss Prevention in Microsoft Office Helps to

• identify• monitor• protect sensitive data through deep content analysis

Identify

Protect

Monitor

End user education

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Demo

Outlook Policy Tips (or an IW’s view of Microsoft DLP)

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Policy distribution

Contextual policy education

DLP policy configuration

Backend policy evaluation

Audit & incident data generation

Admin

Information workers

DLP system walkthrough

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Integrated into Exchange Transport Rule (ETR) engine• Runs in categorizer during

OnResolvedMessage

• Integrated as a new ETR predicate

• Performs text extraction for body & attachments followed by classification

• Can be combined with any existing predicates & actions

SMTP receive

Categorizer

Queue management

Message delivery

Store driver

Text extraction

Transport rule agent

Classification

DLP content detection flow in Exchange

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Content Processing Component

DLP content detection flow in SharePoint

Classification

Operator

Document

summary

PropertyMappin

g

Document

Parser

Custom Entity

Extraction

Word breaking

Ifilter sandbox

Language

Detection

Deleteitem

Crawler

Index

Delete Links

Insert new or updateditem

Runs in Content Processing Pipeline as an operatorInvoked for search crawler as new content discovered and changedClassification results and counts stored in the content index

Excel Format Handler

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DLP Policy Enforcement

Flexible tools for policy enforcement that provide the right level of control

• Transport Rules• Rights Management• Data Loss Prevention

ALERT

CLASSIFY

ENCRYPT

APPEND OVERRIDE

REVIEW

REDIRECT

BLOCK

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DLP policy templatesBuilt-in templates based on common regulations

Import DLP policy templates from partners

Build your own

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Demo

DLP policy management

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Sensitive content detectionPredefined rules targeted at sensitive data types

Advanced content detection

Combination of regular expressions, dictionaries, and internal functions (e.g. validate checksum on credit card numbers)

Extensibility for customer and ISV defined data types

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Built-in DLP Content AreasCountry

PII Financial Health

US US State Security Breach Laws,US State Social Security Laws, COPPA

GLBA & PCI-DSS (Credit, Debit Card, Checking andSavings, ABA, Swift Code)

Limited Investment: US HIPPA, UK Health Service,Canada Health Insurance card

Rely on Partners and ISVs

GermanyEU data protection,Drivers License, Passport National Id

EU Credit, Debit Card,IBAN, VAT, BIC,Swift Code

UKData Protection Act,UK National Insurance, Tax Id, UK Driver License, Passport

EU Credit, Debit Card,IBAN, BIC, VAT,Swift Code

Canada PIPED Act,Social Insurance, Drivers License

Credit Card, Swift Code

France

EU data protection, Data Protection Act,National Id (INSEE),Drivers License, Passport

EU Credit, Debit Card,IBAN, BIC, VAT,Swift Code

JapanPIPA, Resident Registration, Social Insurance, Passport, Driving License

Credit Card,Bank Account,Swift Code

Australia Drivers License, Passport, Social Insurance Credit Card, Bank Account, Swift Code

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Examples:Joseph F. FosterVisa: 4485 3647 3952 7352Expires: 2/2015

Get Content

4485 3647 3952 7352 a 16 digit number is detected

RegEx Analysis

1. 4485 3647 3952 7352 matches checksum2. 1234 1234 1234 1234 does NOT match

Function Analysis

1. Keyword Visa is near the number2. A regular expression for date (2/2015)

is near the number

Additional Evidence

1. There is a regular expression that matches a check sum

2. Additional evidence increases confidenceVerdict

Content analysis process

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DLP Document FingerprintingAdvanced deep content analysis enabling new scenarios!

A tax firm needs to detect and encrypt standard tax forms, like the 1040 EZ, W2, etc.

Company Confidential documents like Patents detected based on their template

A Law firm can fingerprint legal forms, and have them detected automatically for policy application

Integrates with the existing DLP infrastructure as a custom sensitive information type

Surfaced in Exchange, Outlook and OWA

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Fabrikam Patent Form Tracking Number Author Date Invention Title Names of all authors...

Get Template Content

1. Condensed representation of the template content

2. Document is not stored3. Stored as a sensitive information

type

Create Fingerprint

Fabrikam Patent Form Tracking Number 12345 Author Alex Date 1/28/2014 Invention Title Fabrikam Green Energy...

Get Email Content

1. Temporary in memory representation2. Used for comparson with source

fingerprint created at config time

Create Fingerprint

1. Compare the two fingerprints2. Evaluate a ’containtment coefficient’

to declare template contained in email content

Verdict

CO

NFI

GU

RATIO

NR

UN

TIM

EDocument Fingerprinting

CLASSIFICATION RULE with

FINGERPRINT

FINGERPRINTGENERATION

Evaluation

+ verdict

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Demo

Document Fingerprinting

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DLP in SharePoint Online

Search for sensitive data

Built-in classifications

Identification and export

Extends to data in OneDrive

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Demo

DLP in SharePoint Online

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User educationEmpower users to manage their compliance

Contextual policy education

Doesn’t disrupt user workflow

Can work even when disconnected

Admin customizable text and actions

Outlook

OWA

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Policy Tips in OWA for devices

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Demo

Tying it all together(Policy Tips and Document Fingerprints)

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DLP reporting and auditingComprehensive view of DLP policy application

Drill into specific departures from policy to gain business insights

Export to excel workbook & email incident reports

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Real Time Notifications

Audit dataClassificationRule detailsMatch details

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DLP extensibility pointsCustom DLP content

Supplemental DLP policy rulesSupplemental DLP classification rules

Incident reports integration with custom workflows

Custom reporting solutions

Remote PowerShell management

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NEW in SP1 – EXCHANGE and OUTLOOK 2013

DLP Feature Set in Office 365

Deep content analysis engine

46 OOB sensitive information types

40 OOB DLP Templates

Support for 3rd party defined DLP policy templates

Policy Tips in OWA and Mobile OWA

Advanced Document Fingerprinting in Exchange, Outlook, and OWA

5 new OOB sensitive information types

Policy Tips in Outlook 2013

Contextual user education and empowerment

Incident management Rich reporting

EXCHANGE and OUTLOOK 2013

DLP in SharePoint coming soon

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ResourcesExchange 2013 DLP introductionhttp://blogs.technet.com/b/exchange/archive/2012/09/28/introducing-data-loss-prevention-in-the-new-exchange.aspxhttp://technet.microsoft.com/en-us/library/jj150527.aspx

DLP policy templateshttp://technet.microsoft.com/en-us/library/jj657730

Managing DLP policieshttp://technet.microsoft.com/en-us/library/jj673559

OOB DLP policy templateshttp://technet.microsoft.com/en-us/library/jj150530

Policy tips in Exchange 2013http://technet.microsoft.com/en-us/library/jj150512

Supported file types http://technet.microsoft.com/en-us/library/jj674307

MessageStats Quick Guide http://mbidemo.quest.com/Insights/#page/home

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Q&A

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Resources

Learning

Microsoft Certification & Training Resources

www.microsoft.com/learning

msdn

Resources for Developers

http://microsoft.com/msdn

TechNet

Resources for IT Professionals

http://microsoft.com/technet

Sessions on Demand

http://channel9.msdn.com/Events/TechEd

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Complete an evaluation and enter to win!

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Evaluate this session

Scan this QR code to evaluate this session.

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© 2014 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.