Ultimate Generative AI for Cybersecurity | 23.21 MB
Title: Ultimate Generative AI for Cybersecurity
Author: Anik Acharjee
Category: Nonfiction, Computers, Networking & Communications, Computer Security, Advanced Computing, Artificial Intelligence
Language: English | ISBN: 9798245526058
Description:
The Future of Cybersecurity Will Be Driven by AI-Augmented Defense
Cyber threats are evolving faster than traditional defenses can respond – and Generative AI is the force multiplier that security teams need to stay ahead. Ultimate Generative AI for Cybersecurity gives you a comprehensive, hands-on guide to applying Generative AI across the full security lifecycle, from intelligent threat detection and automated response to predictive analysis and AI-powered forensics.
You begin with the foundations of Generative AI architectures and machine learning for security, then progressively advance through AI-driven threat landscapes, data privacy, cloud security deployment, and security automation using SIEM, SOAR, and DevSecOps platforms. Every concept is grounded in real-world use cases, hands-on examples, and practical implementation patterns drawn from enterprise security environments.
The final section covers prompt engineering for security, AI-powered incident response, vulnerability management, and future trends in cybersecurity careers. By the end of the book, you will be able to integrate Generative AI into your security framework with confidence, building systems that detect threats earlier, respond faster, and adapt continuously to an evolving threat landscape.
The Future of Cybersecurity Will Be Driven by AI-Augmented Defense
Cyber threats are evolving faster than traditional defenses can respond – and Generative AI is the force multiplier that security teams need to stay ahead. Ultimate Generative AI for Cybersecurity gives you a comprehensive, hands-on guide to applying Generative AI across the full security lifecycle, from intelligent threat detection and automated response to predictive analysis and AI-powered forensics.
You begin with the foundations of Generative AI architectures and machine learning for security, then progressively advance through AI-driven threat landscapes, data privacy, cloud security deployment, and security automation using SIEM, SOAR, and DevSecOps platforms. Every concept is grounded in real-world use cases, hands-on examples, and practical implementation patterns drawn from enterprise security environments.
The final section covers prompt engineering for security, AI-powered incident response, vulnerability management, and future trends in cybersecurity careers. By the end of the book, you will be able to integrate Generative AI into your security framework with confidence, building systems that detect threats earlier, respond faster, and adapt continuously to an evolving threat landscape.
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