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Data Science for Malware Analysis

You're reading from   Data Science for Malware Analysis A comprehensive guide to using AI in detection, analysis, and compliance

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781804618646
Length 230 pages
Edition 1st Edition
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Author (1):
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Shane Molinari Shane Molinari
Author Profile Icon Shane Molinari
Shane Molinari
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Table of Contents (14) Chapters Close

Preface 1. Part 1– Introduction
2. Chapter 1: Malware Science Life Cycle Overview FREE CHAPTER 3. Chapter 2: An Overview of the International History of Cyber Malware Impacts 4. Part 2 – The Current State of Key Malware Science AI Technologies
5. Chapter 3: Topological Data Analysis for Malware Detection and Analysis 6. Chapter 4: Artificial Intelligence for Malware Data Analysis and Detection 7. Chapter 5: Behavior-Based Malware Data Analysis and Detection 8. Part 3 – The Future State of AI’s Use for Malware Science
9. Chapter 6: The Future State of Malware Data Analysis and Detection 10. Chapter 7: The Future State of Key International Compliance Requirements 11. Chapter 8: Epilogue – A Harmonious Overture to the Future of Malware Science and Cybersecurity
12. Other Books You May Enjoy Appendix: Index

Operational challenges and mitigation strategies to enhance organizational cybersecurity capabilities

Implementing such a comprehensive program to enhance an organization’s cybersecurity capabilities and move up the maturity levels of the CMMI will involve several operational challenges. These can be anticipated and mitigated with effective strategies. Here are some of the potential challenges and mitigation strategies:

  • Resistance to change:
    • Challenge: In any organization, there can be resistance to changes in processes, particularly when they impact daily routines or require new skills.
    • Mitigation strategy: Create a clear communication plan outlining the reasons for the changes, the benefits they’ll bring, and how they will be implemented. Regular training and support will also help team members adapt to the new processes and technologies.
  • Lack of necessary skills:
    • Challenge: The introduction of advanced technologies such as AI and machine learning may reveal...
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