Digital Defence: AI for Cybersecurity & Forensics

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Digital Defence: AI for Cybersecurity & Forensics

Stay ahead in the digital age with this comprehensive AI cybersecurity forensics guide. Learn how artificial intelligence is transforming the way we detect, prevent, and investigate cyber threats. From predictive analytics to real-time threat detection and forensic automation, this resource is essential for cybersecurity professionals, IT teams, and digital investigators.

What You’ll Learn

  • Core concepts of cybersecurity and digital forensics
  • Role of artificial intelligence in threat detection
  • Machine learning techniques for identifying anomalies and attacks
  • AI-driven automation in incident response and evidence gathering
  • Deep learning applications in malware analysis and intrusion detection
  • Building intelligent security systems and forensic tools
  • Case studies and real-world AI applications in cybersecurity

Requirements

  • Basic understanding of cybersecurity concepts
  • Familiarity with machine learning is a plus
  • Interest in AI-driven security solutions and digital investigations

Book Description

This AI cybersecurity forensics handbook offers a cutting-edge perspective on the intersection of artificial intelligence and cyber defense. As threats become more sophisticated, so must the tools we use to combat them. This book explores how AI can enhance threat detection, automate forensic investigations, and accelerate incident response.

You will explore practical methods for deploying AI in cybersecurity environments, including anomaly detection, behavioral analytics, and automated forensic pipelines. Real-world case studies illustrate how AI is already revolutionizing security operations across industries.

Whether you’re a cybersecurity analyst, digital forensics expert, or IT leader, this guide empowers you to leverage AI for securing digital assets and ensuring data integrity.

About the Authors

Written by cybersecurity veterans and AI researchers, this book bridges theoretical knowledge and practical implementation. Their collective experience spans ethical hacking, machine learning, and enterprise-level cyber defense systems.

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