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AI-Driven Cybersecurity: Advanced Threat Detection, Response Automation, and Resilient Defense Systems
Paperback
Series: AI-Powered Business Function
Business GeneralComputer Security
Publisher: Independently Published
Published: Nov 26 2025
Pages: 190
Weight: 0.58
Height: 0.40 Width: 6.00 Depth: 9.00
Language: English
Cybersecurity professionals already understand threat detection, incident response, and the daily grind of SOC operations. What they want now is clarity on how artificial intelligence can elevate their existing workflows. This book is written specifically for analysts, security engineers, architects, threat hunters, and CISOs who know the fundamentals but want to use AI to move faster, detect more accurately, and automate the repetitive work that slows them down.
Many teams face common challenges. Alert fatigue. Slow triage cycles. Limited visibility across cloud and hybrid environments. Gaps between tools that force analysts to pivot constantly. AI changes the landscape by enhancing rather than replacing what practitioners already do. This book shows how to apply AI in practical, realistic ways that align with current security operations, without requiring readers to become data scientists.
Inside, you will discover clear explanations of how AI improves behavioral analytics, threat intelligence, malware detection, phishing defense, SOC automation, vulnerability management, and more. Each section focuses on practical workflows, real tools, and operational techniques used in the field today. The tone remains conversational and grounded, like learning directly from a seasoned security professional who has deployed these systems firsthand.
What You Will LearnHow leading AI platforms enhance threat detection across endpoints, networks, and cloud systems.
Practical workflows for incident response automation that reduce dwell time and analyst workload.
Ways AI assists with malware and phishing detection using modern models and behavioral analysis.
Best practices for building an AI-enhanced SOC without overwhelming teams or budgets.
Key challenges such as adversarial evasion, false positives, privacy rules, and model explainability.
How to integrate AI tools into SIEM, EDR, threat intelligence, and vulnerability management pipelines.
Clear examples from real organizations and top cybersecurity vendors.
You will explore how major uptodate AI tools and will understand which specific AI tool is suitable for you. You will also know how to leverage AI in your workflow. The book also includes actionable guidance drawn from industry reports, SOC case studies, and publicly verified examples. Readers get a practical understanding of how AI enriches the workflows they already know, without hype or unrealistic promises.
Whether you want to improve detection speed, automate investigation, strengthen your EDR strategy, or plan an AI-powered SOC roadmap, this book provides the clarity and confidence needed to make informed decisions. It guides you from high-level concepts to practical implementations while acknowledging limits, risks, and real-world complexities. Every chapter is structured for usability, clarity, and fast application.
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