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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 RegTech

The adoption of RegTech solutions, powered by AI and automation, could streamline compliance processes. Regulators might encourage the use of standardized RegTech tools to ensure more efficient and effective compliance management.

The rapid advancement of technology has given rise to RegTech solutions that leverage AI, automation, and data analytics to streamline compliance processes. The traditionally labor-intensive nature of compliance tasks, such as data collection, analysis, and reporting, has led to the emergence of innovative RegTech solutions. These tools harness the power of AI algorithms and automation to efficiently manage complex compliance requirements.

These tools can enhance efficiency, accuracy, and cost-effectiveness in compliance management. RegTech solutions offer a range of benefits, including faster data processing, reduced human error, and enhanced data accuracy. Automated workflows can handle repetitive tasks, allowing compliance...

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