AI-Powered Cybersecurity Essentials
Protecting Enterprise Networks
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Beschreibung
AI-Powered Cybersecurity Essentials: Protecting Enterprise Networks explores how modern AI and machine learning safeguard complex, hybrid enterprise environments. The book progresses from cybersecurity and ML foundations to applied defenses: AI-enhanced intrusion detection, malware and APT discovery, automated incident response, and predictive threat intelligence with risk analysis. It then covers securing cloud and hybrid networks, protecting IoT and edge devices, rigorous evaluation and validation of AI-driven solutions, and the ethical and regulatory guardrails that govern responsible deployment, closing with actionable future trends.
Written for security architects, SOC analysts, network engineers, and researchers, the book blends principles with practical patterns, reference workflows, and implementation checklists. Readers will learn to design and tune AI-assisted controls, integrate them with existing stacks, operationalize detection and response, measure effectiveness, and navigate governance and compliance—so they can confidently deploy resilient, human-centered, AI-enabled defenses across the enterprise.
AI-Powered Cybersecurity Essentials: Protecting Enterprise Networks explores how modern AI and machine learning safeguard complex, hybrid enterprise environments. The book progresses from cybersecurity and ML foundations to applied defenses: AI-enhanced intrusion detection, malware and APT discovery, automated incident response, and predictive threat intelligence with risk analysis. It then covers securing cloud and hybrid networks, protecting IoT and edge devices, rigorous evaluation and validation of AI-driven solutions, and the ethical and regulatory guardrails that govern responsible deployment, closing with actionable future trends.
Written for security architects, SOC analysts, network engineers, and researchers, the book blends principles with practical patterns, reference workflows, and implementation checklists. Readers will learn to design and tune AI-assisted controls, integrate them with existing stacks, operationalize detection and response, measure effectiveness, and navigate governance and compliance—so they can confidently deploy resilient, human-centered, AI-enabled defenses across the enterprise.
All-in-one ‘to-go’ reference: AI, ML, AML, crypto, cloud, IoT—explained in one place Latest MCP technology, patterns, and risks distilled for enterprise adoption Theory-first, cross-referenced concepts with quick lookups for faster decisions
Autor*in
Anurag Reddy Ekkati
Themen in »AI-Powered Cybersecurity Essentials«
Artificial Intelligence (AI) Machine Learning (ML) Deep Learning (DL) Large Language Models (LLMs) Agentic AI / AI Agents Cybersecurity Fundamentals Enterprise Networks Threat Detection Intrusion Detection Systems (IDS) Anomaly Detection Advanced Persistent Threats (APTs) Malware Detection Automated Incident Response (AIR) Security Orchestration & Automation (SOAR) Predictive Threat Intelligence