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Mastering Cloud Security Posture Management (CSPM)

You're reading from   Mastering Cloud Security Posture Management (CSPM) Secure multi-cloud infrastructure across AWS, Azure, and Google Cloud using proven techniques

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781837638406
Length 472 pages
Edition 1st Edition
Tools
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Author (1):
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Qamar Nomani Qamar Nomani
Author Profile Icon Qamar Nomani
Qamar Nomani
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Toc

Table of Contents (26) Chapters Close

Preface 1. Part 1:CSPM Fundamentals
2. Chapter 1: Cloud Security Fundamentals FREE CHAPTER 3. Chapter 2: Understanding CSPM and the Threat Landscape 4. Chapter 3: CSPM Tools and Features 5. Chapter 4: CSPM Tool Selection 6. Part 2: CSPM Deployment Aspects
7. Chapter 5: Deploying the CSPM Tool 8. Chapter 6: Onboarding Cloud Accounts 9. Chapter 7: Onboarding Containers 10. Chapter 8: Exploring Environment Settings 11. Part 3: Security Posture Enhancement
12. Chapter 9: Exploring Cloud Asset Inventory 13. Chapter 10: Reviewing CSPM Dashboards 14. Chapter 11: Major Configuration Risks 15. Chapter 12: Investigating Threats with Query Explorers and KQL 16. Chapter 13: Vulnerability and Patch Management 17. Chapter 14: Compliance Management and Governance 18. Chapter 15: Security Alerts and Monitoring 19. Part 4: Advanced Topics and Future Trends
20. Chapter 16: Integrating CSPM with IaC 21. Chapter 17: DevSecOps – Workflow Automation 22. Chapter 18: CSPM-Related Technologies 23. Chapter 19: Future Trends and Challenges 24. Index 25. Other Books You May Enjoy

KQL basics

KQL is a powerful read-only query language used to process data and return results; it was developed by Microsoft. Requests are written in plain text format, using a data-flow model that is easy to read and automate; it does not write any data. Kusto queries are written using one or more query statements. It was originally designed for the Azure Data Explorer service (formerly known as Kusto). KQL has gained popularity for its flexibility and efficiency in handling large volumes of structured and semi-structured data. It is commonly used for log and event data analysis, making it a valuable tool for security, monitoring, and data exploration tasks. Microsoft now uses KQL to write queries in Azure Data Explorer, Azure Sentinel, Azure Monitor Log Analytics, and many more places. Let us learn about some important components of KQL. Here are the basics of KQL:

  • Syntax: KQL uses a combination of SQL-like syntax and functional programming constructs. Statements are written...
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