Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inherent in these models. Complete with collective wisdom gained from the creation of the OWASP Top 10 for LLMs list—a feat accomplished by more than 400 industry experts—this guide delivers real-world guidance and practical strategies to help developers and security teams grapple with the realities of LLM applications. Whether you're architecting a new application or adding AI features to an existing one, this book is your go-to resource for mastering the security landscape of the next frontier in AI. You'll learn: Why LLMs present unique security challenges How to navigate the many risk conditions associated with using LLM technology The threat landscape pertaining to LLMs and the critical trust boundaries that must be maintained How to identify the top risks and vulnerabilities associated with LLMs Methods for deploying defenses to protect against attacks on top vulnerabilities Ways to actively manage critical trust boundaries on your systems to ensure secure execution and risk minimization

Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inherent in these models. Complete with collective wisdom gained from the creation of the OWASP Top 10 for LLMs list—a feat accomplished by more than 400 industry experts—this guide delivers real-world guidance and practical strategies to help developers and security teams grapple with the realities of LLM applications. Whether you're architecting a new application or adding AI features to an existing one, this book is your go-to resource for mastering the security landscape of the next frontier in AI. You'll learn: Why LLMs present unique security challenges How to navigate the many risk conditions associated with using LLM technology The threat landscape pertaining to LLMs and the critical trust boundaries that must be maintained How to identify the top risks and vulnerabilities associated with LLMs Methods for deploying defenses to protect against attacks on top vulnerabilities Ways to actively manage critical trust boundaries on your systems to ensure secure execution and risk minimization

This open access book provides cybersecurity practitioners with the knowledge needed to understand the risks of the increased availability of powerful large language models (LLMs) and how they can be mitigated. It attempts to outrun the malicious attackers by anticipating what they could do. It also alerts LLM developers to understand their work's risks for cybersecurity and provides them with tools to mitigate those risks. The book starts in Part I with a general introduction to LLMs and their main application areas. Part II collects a description of the most salient threats LLMs represent in cybersecurity, be they as tools for cybercriminals or as novel attack surfaces if integrated into existing software. Part III focuses on attempting to forecast the exposure and the development of technologies and science underpinning LLMs, as well as macro levers available to regulators to further cybersecurity in the age of LLMs. Eventually, in Part IV, mitigation techniques that should allowsafe and secure development and deployment of LLMs are presented. The book concludes with two final chapters in Part V, one speculating what a secure design and integration of LLMs from first principles would look like and the other presenting a summary of the duality of LLMs in cyber-security. This book represents the second in a series published by the Technology Monitoring (TM) team of the Cyber-Defence Campus. The first book entitled "Trends in Data Protection and Encryption Technologies" appeared in 2023. This book series provides technology and trend anticipation for government, industry, and academic decision-makers as well as technical experts.

This open access book provides cybersecurity practitioners with the knowledge needed to understand the risks of the increased availability of powerful large language models (LLMs) and how they can be mitigated. It attempts to outrun the malicious attackers by anticipating what they could do. It also alerts LLM developers to understand their work's risks for cybersecurity and provides them with tools to mitigate those risks. The book starts in Part I with a general introduction to LLMs and their main application areas. Part II collects a description of the most salient threats LLMs represent in cybersecurity, be they as tools for cybercriminals or as novel attack surfaces if integrated into existing software. Part III focuses on attempting to forecast the exposure and the development of technologies and science underpinning LLMs, as well as macro levers available to regulators to further cybersecurity in the age of LLMs. Eventually, in Part IV, mitigation techniques that should allow safe and secure development and deployment of LLMs are presented. The book concludes with two final chapters in Part V, one speculating what a secure design and integration of LLMs from first principles would look like and the other presenting a summary of the duality of LLMs in cyber-security. This book represents the second in a series published by the Technology Monitoring (TM) team of the Cyber-Defence Campus. The first book entitled "Trends in Data Protection and Encryption Technologies" appeared in 2023. This book series provides technology and trend anticipation for government, industry, and academic decision-makers as well as technical experts.

In a world increasingly powered by artificial intelligence, Large Language Models (LLMs) are emerging as powerful tools capable of generating human-quality text, translating languages, and writing different creative content. However, this power comes with hidden risks. This book dives deep into the world of LLM security, providing a comprehensive guide for developers, security professionals, and anyone interested in harnessing the potential of LLMs responsibly. Part 1: Understanding the Landscape The book starts by unpacking the inner workings of LLMs and explores how these models can be misused to generate harmful content or leak sensitive data. We delve into the concept of LLM bias, highlighting how the data used to train these models can influence their outputs. Through real-world scenarios and case studies, the book emphasizes the importance of proactive security measures to mitigate these risks. Part 2: Building Secure LLM Applications The core of the book focuses on securing LLM applications throughout their development lifecycle. We explore the Secure Development Lifecycle (SDLC) for LLMs, emphasizing secure data acquisition, robust model testing techniques, and continuous monitoring strategies. The book delves into MLOps security practices, highlighting techniques for securing model repositories, implementing anomaly detection, and ensuring the trustworthiness of LLM models. Part 3: Governance and the Future of LLM Security With the rise of LLMs, legal and ethical considerations come to the forefront. The book explores data privacy regulations and how to ensure responsible AI development practices. We discuss the importance of explainability and transparency in LLM decision-making for building trust and addressing potential biases. Looking ahead, the book explores emerging security threats and emphasizes the importance of continuous improvement and collaboration within the LLM security community. By proactively addressing these challenges, we can ensure a secure future for LLM applications.

AI has acquired startling new language capabilities in just the past few years. Driven by the rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend enables the rise of new features, products, and entire industries. With this book, Python developers will learn the practical tools and concepts they need to use these capabilities today. You'll learn how to use the power of pretrained large language models for use cases like copywriting and summarization; create semantic search systems that go beyond keyword matching; build systems that classify and cluster text to enable scalable understanding of large numbers of text documents; and use existing libraries and pretrained models for text classification, search, and clusterings. This book also shows you how to: Build advanced LLM pipelines to cluster text documents and explore the topics they belong to Build semantic search engines that go beyond keyword search with methods like dense retrieval and rerankers Learn various use cases where these models can provide value Understand the architecture of underlying Transformer models like BERT and GPT Get a deeper understanding of how LLMs are trained Optimize LLMs for specific applications with methods such as generative model fine-tuning, contrastive fine-tuning, and in-context learning

The real-world guide to defeating hackers and keeping your business secure Many books discuss the technical underpinnings and complex configurations necessary for cybersecurity—but they fail to address the everyday steps that boards, managers, and employees can take to prevent attacks. The Cybersecurity Playbook is the step-by-step guide to protecting your organization from unknown threats and integrating good security habits into everyday business situations. This book provides clear guidance on how to identify weaknesses, assess possible threats, and implement effective policies. Recognizing that an organization’s security is only as strong as its weakest link, this book offers specific strategies for employees at every level. Drawing from her experience as CMO of one of the world’s largest cybersecurity companies, author Allison Cerra incorporates straightforward assessments, adaptable action plans, and many current examples to provide practical recommendations for cybersecurity policies. By demystifying cybersecurity and applying the central concepts to real-world business scenarios, this book will help you: Deploy cybersecurity measures using easy-to-follow methods and proven techniques Develop a practical security plan tailor-made for your specific needs Incorporate vital security practices into your everyday workflow quickly and efficiently The ever-increasing connectivity of modern organizations, and their heavy use of cloud-based solutions present unique challenges: data breaches, malicious software infections, and cyberattacks have become commonplace and costly to organizations worldwide. The Cybersecurity Playbook is the invaluable guide to identifying security gaps, getting buy-in from the top, promoting effective daily security routines, and safeguarding vital resources. Strong cybersecurity is no longer the sole responsibility of IT departments, but that of every executive, manager, and employee.

Learn how to build a cybersecurity program for a changing world with the help of proven best practices and emerging techniques Key FeaturesUnderstand what happens in an attack and build the proper defenses to secure your organizationDefend against hacking techniques such as social engineering, phishing, and many morePartner with your end user community by building effective security awareness training programsBook Description Security is everyone's responsibility and for any organization, the focus should be to educate their employees about the different types of security attacks and how to ensure that security is not compromised. This cybersecurity book starts by defining the modern security and regulatory landscape, helping you understand the challenges related to human behavior and how attacks take place. You'll then see how to build effective cybersecurity awareness and modern information security programs. Once you've learned about the challenges in securing a modern enterprise, the book will take you through solutions or alternative approaches to overcome those issues and explain the importance of technologies such as cloud access security brokers, identity and access management solutions, and endpoint security platforms. As you advance, you'll discover how automation plays an important role in solving some key challenges and controlling long-term costs while building a maturing program. Toward the end, you'll also find tips and tricks to keep yourself and your loved ones safe from an increasingly dangerous digital world. By the end of this book, you'll have gained a holistic understanding of cybersecurity and how it evolves to meet the challenges of today and tomorrow. What you will learnUnderstand the macro-implications of cyber attacksIdentify malicious users and prevent harm to your organizationFind out how ransomware attacks take placeWork with emerging techniques for improving security profilesExplore identity and access management and endpoint securityGet to grips with building advanced automation modelsBuild effective training programs to protect against hacking techniquesDiscover best practices to help you and your family stay safe onlineWho this book is for This book is for security practitioners, including analysts, engineers, and security leaders, who want to better understand cybersecurity challenges. It is also for beginners who want to get a holistic view of information security to prepare for a career in the cybersecurity field. Business leaders looking to learn about cyber threats and how they can protect their organizations from harm will find this book especially useful. Whether you're a beginner or a seasoned cybersecurity professional, this book has something new for everyone.

It’s been said that software is eating the planet. The modern economy—the world itself—relies on technology. Demand for the people who can produce it far outweighs the supply. So why do developers occupy largely subordinate roles in the corporate structure? Developer Hegemony explores the past, present, and future of the corporation and what it means for developers. While it outlines problems with the modern corporate structure, it’s ultimately a play-by-play of how to leave the corporate carnival and control your own destiny. And it’s an emboldening, specific vision of what software development looks like in the world of developer hegemony—one where developers band together into partner firms of “efficiencers,” finally able to command the pay, respect, and freedom that’s earned by solving problems no one else can. Developers, if you grow tired of being treated like geeks who can only be trusted to take orders and churn out code, consider this your call to arms. Bring about the autonomous future that’s rightfully yours. It’s time for developer hegemony.

Any good attacker will tell you that expensive security monitoring and prevention tools aren’t enough to keep you secure. This practical book demonstrates a data-centric approach to distilling complex security monitoring, incident response, and threat analysis ideas into their most basic elements. You’ll learn how to develop your own threat intelligence and incident detection strategy, rather than depend on security tools alone. Written by members of Cisco’s Computer Security Incident Response Team, this book shows IT and information security professionals how to create an InfoSec playbook by developing strategy, technique, and architecture. Learn incident response fundamentals—and the importance of getting back to basics Understand threats you face and what you should be protecting Collect, mine, organize, and analyze as many relevant data sources as possible Build your own playbook of repeatable methods for security monitoring and response Learn how to put your plan into action and keep it running smoothly Select the right monitoring and detection tools for your environment Develop queries to help you sort through data and create valuable reports Know what actions to take during the incident response phase