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IT Audit Field Manual

You're reading from   IT Audit Field Manual Strengthen your cyber defense through proactive IT auditing

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Product type Paperback
Published in Sep 2024
Publisher Packt
ISBN-13 9781835467930
Length 336 pages
Edition 1st Edition
Tools
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Author (1):
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Lewis Heuermann Lewis Heuermann
Author Profile Icon Lewis Heuermann
Lewis Heuermann
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Table of Contents (18) Chapters Close

Preface 1. Part 1: Foundations of IT Auditing FREE CHAPTER
2. Chapter 1: Introduction to IT Auditing 3. Chapter 2: Audit Planning and Preparation 4. Part 2: Auditing IT Systems and Networks
5. Chapter 3: Cisco Switches and Routers: Access Methods and Security Assessments 6. Chapter 4: Next-Generation Firewall Auditing 7. Chapter 5: Cloud Security Auditing 8. Chapter 6: Endpoint Security: Windows 10 and Windows 11 9. Chapter 7: Linux Systems Auditing 10. Chapter 8: Wireless Access Points and Storage Technology Auditing 11. Chapter 9: Data Protection and Privacy Considerations 12. Chapter 10: Reporting and Remediation 13. Chapter 11: Advanced Topics in IT Auditing 14. Chapter 12: Building an IT Audit Career 15. Index 16. Other Books You May Enjoy Appendix: Conclusion and Future Outlook

Introduction to advanced auditing techniques

As IT systems continue to grow in complexity and sophistication, IT auditors must expand their toolkit beyond traditional methods. These techniques often leverage specialized knowledge, tools, and methodologies to go beyond surface-level assessments and dig into the intricacies of modern IT systems.

IT auditors are increasingly turning to advanced techniques that leverage cutting-edge technologies and methodologies to better understand IT systems and processes, identify hidden risks, and proactively address vulnerabilities.

Let’s take a look at some of the ways auditors are exploring more advanced IT audit approaches:

  • Data analytics in IT auditing: While data analytics is becoming more commonplace, its advanced application in IT auditing involves leveraging ML algorithms and statistical models to uncover hidden patterns, anomalies, and potential fraud. Data analytics can include analyzing vast datasets from various sources...
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