As cyber threats become more advanced, persistent, and automated, so must our defenses. AI-Enhanced Cybersecurity explores how artificial intelligence is transforming the way organizations detect, respond to, and anticipate cyberattacks across digital ecosystems.
This practical and forward-looking guide demystifies the role of machine learning, natural language processing, and intelligent automation in cybersecurity. It introduces tools and frameworks that empower security teams to analyze large volumes of data in real time, detect anomalies faster, and respond with precision and speed. Through case studies and real-world examples, you'll see how AI is used in threat intelligence, intrusion detection, behavioral analysis, fraud prevention, and beyond.
Inside, you'll discover:
The fundamentals of AI and machine learning in a security context
AI-powered tools for detecting and mitigating threats at scale
Techniques for automating response and improving incident management
Applications in network security, cloud environments, and zero-trust models
Ethical considerations, limitations, and future challenges of AI in cybersecurity
This book provides the knowledge and frameworks to harness AI as a powerful ally in securing modern digital infrastructure.
