Neelakrishnan (21 Ergebnisse)

paperback. Zustand: Very Good.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Neuware - This book focuses on analyzing the foundational requirements necessary to construct an autonomous data protection solution for enterprise businesses. It navigates readers through various options and tools, outlining the advantages and disadvantages of each. Covering diverse deployment environments including cloud, on-premises, and hybrid setups, as well as different deployment scales and comprehensive channel coverages, it encourages readers to break away from conventional norms in their approach.By exploring the factors that should be taken into account, the book highlights the significant gap in existing data safeguarding solutions, which often rely solely on configured security policies. It proposes a forward-thinking security approach designed to endure over time, surpassing traditional policies and urging readers to consider proactive autonomous data security solutions. Additionally, it delves into the system's ability to adapt to deployed environments, learn from feedback, and autonomously safeguard data while adhering to security policies.More than just a set of guidelines, this book serves as a catalyst for the future of the cybersecurity industry. Its focus on autonomous data security and its relevance in the era of advancing AI make it particularly timely and essential.What You Will learn:Understand why data security is important for enterprise businesses.How data protection solutions work and how to evaluate a solution in the market.How to start thinking and evaluating requirements when building a solution for small, medium, and large enterprises.Understand the pros and cons of security policy configurations defined by administrators and why can't they provide comprehensive protection.How to safeguard data via adaptive learning from the deployed environment - providing autonomous data security with or without policies.How to leverage AI to provide data security with comprehensive proactive protection.What factors to consider when they have to protect and safeguard data.Who this book is for:The primary audience is cybersecurity professionals, security enthusiasts, C-level executives in organizations (all verticals), and security analysts and IT administrators. Secondary audience includes professors and teachers, channel integrators, professional services, and hackers. …

Zustand: NEW.

Taschenbuch. Zustand: Neu. Neuware - Large Language Models (LLMs) are rapidly transforming how enterprisesoperate, powering customer support, internal assistants, automated workflows, search, analytics, and decision-making systems. But as organizations adopt AI at scale, they are also introducing a new and expanding attack surface. Jailbreaking LLMs explores how attackers manipulate AI systems through prompt injection, jailbreaks, adversarial inputs, data poisoning, context manipulation, retrieval attacks, and unsafe tool usage to bypass safeguards, leak sensitive data, and influence AI behavior in unexpected ways.This book provides a practical guide to understanding, testing, and defending enterprise AI systems in the real world. Through real attack scenarios, security frameworks, red-teaming methodologies, governance strategies, and defensive architecture patterns, readers will learn how to build secure, resilient, and enterprise-ready LLM deployments. Covering everything from RAG security and agentic systems to incident response, AI governance, runtime monitoring, and future attack trends, this book connects AI innovation with modern cybersecurity practices.What you will learnUnderstand how LLM jailbreaks, prompt injection, and adversarial attacks work.…

Zustand: New.

Zustand: New.

Taschenbuch. Zustand: Neu. Neuware -Large Language Models (LLMs) are rapidly transforming how enterprises operate, powering customer support, internal assistants, automated workflows, search, analytics, and decision-making systems. But as organizations adopt AI at scale, they are also introducing a new and expanding attack surface.¿Jailbreaking LLMs¿explores how attackers manipulate AI systems through prompt injection, jailbreaks, adversarial inputs, data poisoning, context manipulation, retrieval attacks, and unsafe tool usage to bypass safeguards, leak sensitive data, and influence AI behavior in unexpected ways. This book provides a practical guide to understanding, testing, and defending enterprise AI systems in the real world. Through real attack scenarios, security frameworks, red-teaming methodologies, governance strategies, and defensive architecture patterns, readers will learn how to build secure, resilient, and enterprise-ready LLM deployments. Covering everything from RAG security and agentic systems to incident response, AI governance, runtime monitoring, and future attack trends, this book connects AI innovation with modern cybersecurity practices. What you will learn - Understand how LLM jailbreaks, prompt injection, and adversarial attacks work <li class='OutlineElement Ltr SCXW159986485 BCX0' role='listitem' aria-setsize='-1' data-leveltext='¿' data-font='Symbol' data-listid='1' data-list-defn-props='{'335552541':1,'335559685':720,'335559991':360,'469769226':'Symbol','4697 760 pp. Englisch.…

Zustand: New.

Hardcover. Zustand: Brand New. 200 pages. 9.18x6.12x9.45 inches. In Stock.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: NEW.

Zustand: New. In English.

Zustand: New.

Zustand: New.

Hardcover. Zustand: Brand New. 352 pages. In Stock.

Buch. Zustand: Neu. Neuware - Position yourself at the forefront of the transportation revolution with this guide to mastering computational intelligence that serves as the essential linchpin for the safe, sustainable, and hyper-connected Internet of Vehicular Things. The rapid adoption of the Internet of Things has transformed the way we interact with our environment, ushering in an era of unprecedented connectivity and data sharing. One of the most dynamic and influential manifestations of this technological revolution is the Internet of Vehicular Things, a paradigm that connects the digital and physical worlds through the integration of intelligent vehicles, smart infrastructure, and advanced communication networks. In this fast-evolving landscape, computational intelligence emerges as the linchpin that enables IoVT to realize its full potential. This book addresses the fascinating intersection of vehicle technology and computational intelligence. It explores the transformative power of algorithms, machine learning, artificial intelligence, and data analytics shaping the future of transportation. As vehicles become smarter, safer, and more efficient, the opportunities for innovation and optimization are limitless. The IoVT ecosystem encompasses a wide range of applications, from autonomous vehicles and traffic management systems to driver assistance technologies and predictive maintenance. By harnessing the collective intelligence of vehicles and infrastructures, IoVT promises to revolutionize not only our daily commute, but the broader transportation landscape, paving the way for sustainable, efficient, and safe mobility solutions. This book is a comprehensive guide for researchers, engineers, practitioners, and policymakers looking to navigate the complex terrain of IoVT using computational intelligence. It provides a multidisciplinary perspective and draws on recent advances in computer science, data science, electrical engineering, and transportation science to facilitate a deep understanding of the key concepts, challenges, and opportunities associated with IoVT and computational intelligence.…

Buch. Zustand: Neu. Internet of Vehicles | Archana Naganathan (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2026 | John Wiley & Sons Inc | EAN 9781394275083 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Zustand: New.