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Microsoft Defender for Endpoint in Depth

You're reading from   Microsoft Defender for Endpoint in Depth Take any organization's endpoint security to the next level

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Product type Paperback
Published in Mar 2023
Publisher Packt
ISBN-13 9781804615461
Length 362 pages
Edition 1st Edition
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Authors (3):
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Justen Graves Justen Graves
Author Profile Icon Justen Graves
Justen Graves
Joe Anich Joe Anich
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Joe Anich
Paul Huijbregts Paul Huijbregts
Author Profile Icon Paul Huijbregts
Paul Huijbregts
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Toc

Table of Contents (16) Chapters Close

Preface 1. Part 1: Unpacking Microsoft Defender for Endpoint
2. Chapter 1: A Brief History of Microsoft Defender for Endpoint FREE CHAPTER 3. Chapter 2: Exploring Next-Generation Protection 4. Chapter 3: Introduction to Attack Surface Reduction 5. Chapter 4: Understanding Endpoint Detection and Response 6. Part 2: Operationalizing and Integrating the Products
7. Chapter 5: Planning and Preparing for Deployment 8. Chapter 6: Considerations for Deployment and Configuration 9. Chapter 7: Managing and Maintaining the Security Posture 10. Part 3: Operations and Troubleshooting
11. Chapter 8: Establishing Security Operations 12. Chapter 9: Troubleshooting Common Issues 13. Chapter 10: Reference Guide, Tips, and Tricks 14. Index 15. Other Books You May Enjoy

Understanding alerts and incidents

EDR doesn’t simply record the telemetry for you to blindly sift through, however. MDE’s EDR capabilities are enhanced through a big data, cloud-based analytics engine. Leveraging the incredible volume of data available to Microsoft from the Windows and M365 ecosystems, behavioral signals are converted into detections and response recommendations. Threat intelligence from Microsoft internal sources, such as dedicated security researchers, Microsoft Threat Intelligence Center (MSTIC), and others, are combined with threat intelligence from multiple partners to identify new IOCs, IOAs, and attacker TTPs.

Cold snack

This big data approach allows trends that might go unnoticed in a smaller environment, or due to a low volume of relevant signals in any single environment, to still generate enough signals at a macro level for behavioral patterns to be identified and detections to be generated for all users of the product, regardless of...

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