Generative AI in Cybersecurity - Redefining Threat Defense in the Current Era

By Bilal Qureshi

Generative AI in Cybersecurity: Redefining Threat Defense in the Current Era

Harness the power of Generative AI to revolutionize cybersecurity, strengthen threat detection, and stay ahead of cybercriminals in today's digital world.

With the rise of AI-driven cyber threats, traditional security approaches are no longer enough. This comprehensive cybersecurity guide explores how Artificial Intelligence (AI) and Machine Learning (ML) are transforming threat intelligence, real-time attack prevention, and incident response.

What You'll Learn:

✔️ The Fundamentals of Generative AI in Cybersecurity - Understand how AI-powered tools identify and mitigate cyber threats.
✔️ AI-Driven Threat Detection & Response - Explore advanced machine learning models, behavioral analytics, and anomaly detection techniques.
✔️ Cyber Threat Hunting & Risk Management - Leverage AI to detect zero-day attacks, prevent phishing scams, and strengthen data privacy.
✔️ Applications of Natural Language Processing (NLP) & Deep Learning - Improve SOC operations, automate security tasks, and enhance fraud detection.
✔️ Ethical AI & Challenges in Cybersecurity - Address AI biases, adversarial attacks, and regulatory concerns.

Who Should Read This Book?

• Format: Paperback
• Language: English
• ISBN: B0DW5NK9SP
• ISBN13: 9798309097265
• Release Date: February 2025
• Publisher: Independently Published
• Length: 328 Pages
• Weight: 0.97 lbs.
• Dimensions: 0.7" x 6.0" x 9.0"