Securing Ai Model Weights
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Securing Ai Model Weights
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Author : Sella Nevo
language : en
Publisher: Rand Corporation
Release Date : 2024-05-30
Securing Ai Model Weights written by Sella Nevo and has been published by Rand Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-30 with Computers categories.
The authors describe how to secure the weights of frontier artificial intelligence and machine learning models (that is, models that match or exceed the capabilities of the most advanced models at the time of their development).
Securing Artificial Intelligence Model Weights
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Author : Sella Nevo
language : en
Publisher:
Release Date : 2023
Securing Artificial Intelligence Model Weights written by Sella Nevo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
As frontier artificial intelligence (AI) models become more capable, protecting them from malicious actors will become more important. If AI systems rapidly become more capable over the next few years, achieving sufficient security will require investments--starting today--well beyond what the default trajectory appears to be. This working paper suggests steps that can be taken now to avoid future problems.
Code War The Ai Revolution In Cybersecurity
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Author : Touhid Bhuiyan
language : en
Publisher: QUILL TECH PUBLICATIONS
Release Date : 2025-06-30
Code War The Ai Revolution In Cybersecurity written by Touhid Bhuiyan and has been published by QUILL TECH PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-30 with categories.
Code War: The AI Revolution in Cybersecurity is a comprehensive exploration of how artificial intelligence is transforming the digital battlefield of cybersecurity. Spanning decades—from the early days of ARPANET and the Creeper virus to the modern challenges of AI-powered malware and deepfake threats—this book traces the evolution of cyber threats and the corresponding defenses. It presents a vivid historical narrative, examining how computing’s rise also invited the emergence of increasingly sophisticated attacks. The book begins with a detailed chronicle of early computer worms, viruses, and the dawn of security awareness, setting the foundation for modern cybersecurity strategies. As technology advanced through the 1980s and 1990s, firewalls, antivirus software, and web-based threats took center stage, reflecting society’s increasing dependence on interconnected digital systems. Entering the 21st century, readers are immersed in the explosive growth of IoT devices, mobile computing, and cloud platforms, all of which expanded the attack surface and challenged traditional security models. The narrative shifts to the COVID-19 pandemic, revealing how remote work vulnerabilities and cybercrime surged in tandem, impacting individuals, corporations, and critical infrastructures worldwide. At its core, the book explores the powerful dual role of AI—as a defender and as a weapon. It explains how AI technologies like machine learning, anomaly detection, and natural language processing are revolutionizing cyber defense, enabling faster, smarter, and more adaptive protection. Yet it also reveals how cybercriminals are exploiting AI to create convincing phishing attacks, voice cloning scams, and autonomous malware, introducing an era where cyber threats are more dynamic and personalized than ever before. Through vivid real-world examples, expert analysis, and a balanced ethical discussion, Code War reveals why cybersecurity must evolve from static defenses to intelligent, adaptive systems. It highlights emerging paradigms like Zero Trust, explainable AI, and the integration of human-machine collaboration in security operations centers. Whether you're a cybersecurity professional, tech enthusiast, policymaker, or simply curious about the digital threats shaping our world, this book offers a gripping, insightful, and timely journey into the future of cyber defense. As AI takes center stage in the fight against digital threats, Code War provides the roadmap to navigate—and survive—the AI revolution in cybersecurity.
Introduction To Ai Safety Ethics And Society
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Author : Dan Hendrycks
language : en
Publisher: CRC Press
Release Date : 2024-12-31
Introduction To Ai Safety Ethics And Society written by Dan Hendrycks and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-31 with Computers categories.
As AI technology is rapidly progressing in capability and being adopted more widely across society, it is more important than ever to understand the potential risks AI may pose and how AI can be developed and deployed safely. Introduction to AI Safety, Ethics, and Society offers a comprehensive and accessible guide to this topic. This book explores a range of ways in which societies could fail to harness AI safely in coming years, such as malicious use, accidental failures, erosion of safety standards due to competition between AI developers or nation-states, and potential loss of control over autonomous systems. Grounded in the latest technical advances, this book offers a timely perspective on the challenges involved in making current AI systems safer. Ensuring that AI systems are safe is not just a problem for researchers in machine learning – it is a societal challenge that cuts across traditional disciplinary boundaries. Integrating insights from safety engineering, economics, and other relevant fields, this book provides readers with fundamental concepts to understand and manage AI risks more effectively. This is an invaluable resource for upper-level undergraduate and postgraduate students taking courses relating to AI Safety & Alignment, AI Ethics, AI Policy, and the Societal Impacts of AI, as well as anyone trying to better navigate the rapidly evolving landscape of AI safety.
Artificial Intelligence For Cloud Edge Computing
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Author : Jayaraman Kumarappan
language : en
Publisher: RK Publication
Release Date : 2024-11-22
Artificial Intelligence For Cloud Edge Computing written by Jayaraman Kumarappan and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-22 with Computers categories.
Artificial Intelligence for Cloud & Edge Computing the integration of AI with cloud and edge computing, highlighting how these technologies transform data processing and decision-making. The AI models optimized for distributed environments, addressing challenges like latency, security, and scalability. It key applications across industries, examines emerging trends, and provides insights into the future of intelligent systems. Designed for professionals, researchers, and students, it offers a comprehensive understanding of how AI enhances computing efficiency at both centralized cloud infrastructures and decentralized edge devices.
Secure Ai Onboarding Framework
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Author : Michael Bergman
language : en
Publisher: Michael Bergman
Release Date : 2024-08-22
Secure Ai Onboarding Framework written by Michael Bergman and has been published by Michael Bergman this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-22 with Computers categories.
AI Onboarding is the process of fine-tuning generic pre-trained AI models using the transfer learning process and the organisation's proprietary data, such as intellectual property (IP), customer data, and other domain-specific datasets. This fine-tuning transforms a generic AI model into a bespoke business tool that understands organisation-specific terminology, makes decisions in line with internal policies and strategies, and provides insights that are directly relevant to the organisation's goals and challenges. Standing in the way of this powerful transformation is the AI onboarding challenge of protecting the confidentiality, integrity and availability of proprietary data as it is collected, stored, processed and used in fine-tuning. The Secure AI Onboarding Framework is designed to address this challenge by supporting the “Risk Identification” and “Risk treatment” phases of ISO/IEC 27005". It decomposes authoritative resources including the AI Act, OWASP, NIST CSF 2.0, and AI RMF into four critical components, namely Risks, Security Controls, Assessment Questions and Control Implementation Guidance. These components help organisations first, to identify the risks relevant to their AI system and proprietary data, second, define an AI system statement of applicable controls to treat the risks. Thirdly, assess the implementation status of those controls to identify gaps in their readiness to onboard the AI system, and finally, they provide control implementation guidance to facilitate the correct control implementation. Ultimately minimising the security risks related to onboarding AI systems and securely integrating them into their business teams and processes.
Secure Edge And Fog Computing Enabled Ai For Iot And Smart Cities
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Author : Ahmed A. Abd El-Latif
language : en
Publisher: Springer Nature
Release Date : 2024-03-19
Secure Edge And Fog Computing Enabled Ai For Iot And Smart Cities written by Ahmed A. Abd El-Latif and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-19 with Technology & Engineering categories.
This book gathers recent research in security and privacy to discuss, evaluate, and improve the novel approaches of data protection in IoT and edge and fog computing. The primary focus of the book addresses security mechanisms in IoT and edge/ fog computing, advanced secure deployments for large scaled edge/ fog computing, and new efficient data security strategy of IoT and edge/ fog computing. The book lays a foundation of the core concepts and principles of IoT and 5G security, walking the reader through the fundamental ideas. This book is aimed at researchers, graduate students, and engineers in the fields of secure IoT and edge/ fog computing. The book also presents selected papers from International Conference on Advanced Computing & Next-Generation Communication (ICACNGC 2022).
Engineering Intelligent Financial And Public Sector Systems With Generative Agentic And Secure Ai Architectures
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Author : Abhishek Dodda
language : en
Publisher: Aqua publication
Release Date :
Engineering Intelligent Financial And Public Sector Systems With Generative Agentic And Secure Ai Architectures written by Abhishek Dodda and has been published by Aqua publication this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Understanding Ai In Cybersecurity And Secure Ai
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Author : Dilli Prasad Sharma
language : en
Publisher: Springer Nature
Release Date : 2025-05-26
Understanding Ai In Cybersecurity And Secure Ai written by Dilli Prasad Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-26 with Business & Economics categories.
This book presents an overview of the emerging topics in Artificial Intelligence (AI) and cybersecurity and addresses the latest AI models that could be potentially applied to a range of cybersecurity areas. Furthermore, it provides different techniques of how to make the AI algorithms secure from adversarial attacks. The book presents the cyber threat landscape and explains the various spectrums of AI and the applications and limitations of AI in cybersecurity. Moreover, it explores the applications and limitations of secure AI. The authors discuss the three categories of machine learning (ML) models and reviews cutting-edge recent Deep Learning (DL) models. Furthermore, the book provides a general AI framework in security as well as different modules of the framework; similarly, chapter four proposes a general framework for secure AI. It explains different aspects of network security including malware and attacks. The book also includes a comprehensive study of various scopes of application security; categorised into three groups of smartphone, web application, and desktop application and delves into the concepts of cloud security. The authors discuss state-of-the-art Internet of Things (IoT) security and describe various challenges of AI for cybersecurity, such as data diversity, model customising, explainability, and time complexity and includes some future work. They provide a comprehensive understanding of adversarial machine learning including the up-to-date adversarial attacks and defences. The book finishes off with a discussion of the challenges and future work in secure AI. Overall, this book covers applications of AI models to various fields of cybersecurity and appeals not only to an scholarly audience but also to professionals wanting to learn more about the new developments in these areas.
Ai Security Certification Study Guide
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Author : Edgar Jack Watkins
language : en
Publisher:
Release Date :
Ai Security Certification Study Guide written by Edgar Jack Watkins and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Transform your cybersecurity career with the only comprehensive CAISF certification study guide you need to succeed in 2025. The artificial intelligence revolution demands security professionals who understand both traditional cybersecurity and AI-specific threats. This complete certification guide provides everything required to master AI security fundamentals and pass your CAISF exam on the first attempt. What you'll master: AI security frameworks including NIST AI RMF and ISO/IEC 42001 Adversarial attacks, data poisoning, and model extraction techniques Regulatory compliance for GDPR, EU AI Act, and industry standards Incident response procedures for AI-specific security breaches Risk assessment methodologies for machine learning systems Privacy-preserving AI techniques and implementation strategies Complete exam preparation includes: 500+ practice questions with detailed explanations covering all five CAISF domains Domain-specific review sections weighted exactly like the actual exam Quick reference guides for last-minute study sessions Hands-on lab exercises using real AI security tools Case studies from Google, Microsoft, Netflix, and leading organizations Practical implementation resources: Enterprise AI governance charter templates Incident response playbooks for AI security teams Risk assessment worksheets for various AI applications Compliance audit checklists for multiple regulatory frameworks Tools directory with open-source and commercial solution comparisons Perfect for: Cybersecurity professionals expanding into AI security IT managers implementing AI governance programs Risk managers assessing AI-related threats Compliance officers navigating AI regulations Anyone preparing for CAISF certification This study guide bridges the gap between traditional cybersecurity knowledge and AI-specific security challenges. Each chapter builds practical skills through real-world scenarios while preparing you for certification success. Your path to AI security expertise starts here. Master 500+ practice questions and pass your CAISF exam on the first attempt.