Az bhat (14 résultats)

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New. Print on Demand.

Paperback. Etat : new. Paperback. In today's hyperconnected world, cybersecurity has evolved from a specialized discipline into a universal necessity. Yet, the language of cybersecurity, rich with acronyms, jargon, and rapidly emerging terms often creates barriers to understanding. Cybersecurity Terminology: Mastering the Language of Cybersecurity was born from the need to bridge that gap. Whether you are a student entering the field, a professional expanding your expertise, or an executive seeking clarity in security discussions, this book aims to equip you with a precise and practical understanding of the words that define the digital defense landscape. This book is more than just a glossary; it's a guide to context, evolution, and real-world relevance. Each term is explained in clear, concise language, supported by examples and insights that connect vocabulary to everyday cybersecurity practice. As threats evolve and technology advances, understanding the language of cybersecurity becomes the first step toward resilience. By mastering this lexicon, readers can engage more confidently in discussions, make informed decisions, and contribute to building a safer digital world. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Etat : New. Print on Demand.

PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Etat : new. Paperback. AI, Generative AI, and Agentic AI for Cybersecurity: A Practical, Hands-On Approach Using Python is written for a new era in security operations, where adversaries are faster, attacks are more automated, and defenders must rely on intelligent systems to keep pace. Traditional defenses built on signatures, static rules, and isolated tools no longer scale against today's threat landscape. This book provides a grounded, intuitive, and highly practical journey into how AI can transform the SOC: from enhancing telemetry understanding to spotting anomalies, prioritizing threats, accelerating incident response, and ultimately enabling autonomous decision-support. Whether you are an analyst, engineer, student, or security leader, this book welcomes you into the world of AI-augmented cyber defense without requiring a machine learning or math background. This book is also deeply hands-on. Each concept connects to real security workflows and is backed by lightweight, executable Python examples that demonstrate how data can be shaped, analyzed, and used to drive intelligent detections and response. From descriptive analytics to behavioral modeling, from synthetic datasets to step-by-step capstones, and from generative intelligence to agentic copilots, the chapters build a complete learning path grounded in realism but free from proprietary systems. By the end, readers will not only understand how AI, GenAI, and agents apply to cybersecurity, they will be able to prototype their own tools, reason about their limitations, and integrate these capabilities responsibly into modern SOC environments. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Etat : new. Paperback. In today's hyperconnected world, cybersecurity has evolved from a specialized discipline into a universal necessity. Yet, the language of cybersecurity, rich with acronyms, jargon, and rapidly emerging terms often creates barriers to understanding. Cybersecurity Terminology: Mastering the Language of Cybersecurity was born from the need to bridge that gap. Whether you are a student entering the field, a professional expanding your expertise, or an executive seeking clarity in security discussions, this book aims to equip you with a precise and practical understanding of the words that define the digital defense landscape. This book is more than just a glossary; it's a guide to context, evolution, and real-world relevance. Each term is explained in clear, concise language, supported by examples and insights that connect vocabulary to everyday cybersecurity practice. As threats evolve and technology advances, understanding the language of cybersecurity becomes the first step toward resilience. By mastering this lexicon, readers can engage more confidently in discussions, make informed decisions, and contribute to building a safer digital world. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Etat : new. Paperback. AI, Generative AI, and Agentic AI for Cybersecurity: A Practical, Hands-On Approach Using Python is written for a new era in security operations, where adversaries are faster, attacks are more automated, and defenders must rely on intelligent systems to keep pace. Traditional defenses built on signatures, static rules, and isolated tools no longer scale against today's threat landscape. This book provides a grounded, intuitive, and highly practical journey into how AI can transform the SOC: from enhancing telemetry understanding to spotting anomalies, prioritizing threats, accelerating incident response, and ultimately enabling autonomous decision-support. Whether you are an analyst, engineer, student, or security leader, this book welcomes you into the world of AI-augmented cyber defense without requiring a machine learning or math background. This book is also deeply hands-on. Each concept connects to real security workflows and is backed by lightweight, executable Python examples that demonstrate how data can be shaped, analyzed, and used to drive intelligent detections and response. From descriptive analytics to behavioral modeling, from synthetic datasets to step-by-step capstones, and from generative intelligence to agentic copilots, the chapters build a complete learning path grounded in realism but free from proprietary systems. By the end, readers will not only understand how AI, GenAI, and agents apply to cybersecurity, they will be able to prototype their own tools, reason about their limitations, and integrate these capabilities responsibly into modern SOC environments. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …