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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

The future state of AI ethics and governance standards

As AI becomes more integrated into various aspects of society, including compliance management, there will likely be a push for international AI ethics and governance standards. These standards could address issues such as bias in AI algorithms, transparency, and accountability in AI decision-making, and mechanisms to ensure AI compliance with laws and regulations.

The rise of AI technologies presents both opportunities and challenges for compliance. AI has the potential to revolutionize how businesses manage compliance processes by automating tasks, analyzing complex data, and improving decision-making accuracy. However, alongside these benefits, the deployment of AI introduces ethical considerations and potential risks that need to be carefully managed.

While AI can enhance efficiency and accuracy in compliance processes, it also raises concerns about biases, accountability, and transparency. AI algorithms learn from historical...

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