AI for Ethical Hackers Leveraging Artificial Intelligence to Enhance Cybersecurity and Defend Against Threats

AI for Ethical Hackers Leveraging Artificial Intelligence to Enhance Cybersecurity and Defend Against Threats

Harnessing AI to Strengthen Cybersecurity, Detect Threats, and Stay Ahead of Hackers

About the Book

In AI for Ethical Hackers, explore how artificial intelligence is transforming cybersecurity. Learn how AI-powered tools detect vulnerabilities, automate security tasks, and enhance penetration testing. Whether you're an ethical hacker, cybersecurity professional, or AI enthusiast, this book provides insights into using AI to outsmart cyber threats and fortify defenses.

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About the Author

ALBERT TETTEH ADJEI
ALBERT TETTEH ADJEI

Albert Tetteh Adjei is a passionate software engineer from Ghana with a deep interest in emerging technologies and digital transformation. A graduate of Aptech Computer Education, he specializes in software development and has a keen focus on next-generation wireless technologies, artificial intelligence, and cybersecurity. With a strong background in tech, Albert is dedicated to simplifying complex topics for readers, helping them navigate the ever-evolving digital landscape.

Table of Contents

Table of Contents Chapter 1: Introduction to AI and Cybersecurity ............................... 11 Chapter 2: The Evolution of Ethical Hacking ...................................... 16 Chapter 3: Understanding AI Basics ................................................... 20 Chapter 4: AI in Cyber Threat Detection ............................................ 25 Chapter 5: Machine Learning Algorithms for Cybersecurity ............. 35 Chapter 6: Deep Learning Techniques for Threat Analysis ............... 41 Chapter 7: AI-Driven Vulnerability Assessment Tools ....................... 48 Chapter 8: Behavioral Analysis with AI ............................................... 57 Chapter 9: Automating Incident Response with AI ............................ 65 Chapter 10: AI in Phishing Detection and Prevention ....................... 69 Chapter 11: Enhancing Network Security with AI .............................. 76 Chapter 12: AI in Malware Analysis and Detection ........................... 83 Chapter 13: Predictive Analytics for Threat Forecasting ................... 87 Chapter 14: AI and Encryption Techniques ........................................ 91 Chapter 15: Ethical Considerations in AI Security .............................. 95 Chapter 16: AI for Security Operations Centers (SOCs) ..................... 99 Chapter 17: AI-Powered Penetration Testing .................................. 106 Chapter 18: AI in Threat Intelligence Gathering .............................. 110 Chapter 19: Integrating AI with Traditional Security Tools ............. 120 Chapter 20: AI for Secure Software Development .......................... 127 Chapter 21: Real-World Case Studies of AI in Cybersecurity .......... 133 Chapter 22: Challenges and Limitations of AI in Cybersecurity ...... 138 10 Chapter 23: AI and Privacy Concerns ............................................... 144 Chapter 24: Future Trends in AI and Cybersecurity......................... 149 Chapter 25: AI for Cloud Security ..................................................... 156 Chapter 26: AI in Identity and Access Management ....................... 163 Chapter 27: Evaluating AI Tools for Cybersecurity .......................... 168 Chapter 28: Training and Skill Development for AI in Cybersecurity ............................................................................................................ 174 Chapter 29: Legal and Regulatory Aspects of AI in Cybersecurity .. 181 Chapter 30: Building an AI-Enhanced Cybersecurity Strategy ........ 185

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