دانلود کتاب بهترین شیوه‌های مدل‌سازی تهدید -چارچوب‌های اثبات‌شده و تکنیک‌های عملی برای ایمن‌سازی سیستم‌های مدرن

Threat modeling is perhaps one of the most critical yet underutilized practices in modern cybersecurity. As technology transforms the way we do business across every industry, organizations face an unprecedented expansion of their attack surfaces, from traditional on-premises infrastructure to complex multi-cloud environments, interconnected IoT ecosystems, and increasingly sophisticated AI-powered applications. The reactive approach of addressing security vulnerabilities after they are discovered or exploited is no longer sufficient when cyber threats are a part of daily life and the cost of security breaches continues to increase. At its core, threat modeling is a structured approach to identifying, understanding, and addressing potential security threats before they can be exploited. It allows security teams to step away from reactive security measures and instead attempt to build proactive risk management practices. This occurs with the security teams performing systematic analysis of system architectures, data flows, trust boundaries, and potential attack vectors, giving them insights to prioritize their efforts and allocate resources effectively. What has been fascinating is the changes in threat modeling over the years. What began as a specialized discipline primarily left to a few senior security specialists and penetration testers has now become a broader part of secure development practices and is exposed to a larger bench of resources, thanks in part to the availability of more approachable and intuitive tools. This book takes you through the spectrum of threat modeling processes and practices. From foundational methodologies such as STRIDE to cutting-edge implementations that keep pace with the speed of system development, we begin by establishing a solid understanding of threat modeling principles, methodologies, and best practices that form the foundation of threat identification. We then progress through practical applications across software development lifecycles, where threat modeling becomes an integral part of secure coding practices and DevSecOps workflows. The book explores the unique challenges and opportunities presented by cloud and infrastructure environments, where traditional security boundaries have dissolved and new paradigms such as zero-trust architectures have become essential. We will delve into supply chain security, an increasingly critical concern as organizations become more interconnected and dependent on third-party vendors and services. The mobile and IoT revolution brings its own set of challenges, requiring different ways of thinking about threat modeling that account for resource constraints, diverse communication protocols, and massive scale deployments. One of the most exciting and challenging frontiers in threat modeling today is the application (and usage) of these methodologies to artificial intelligence and machine learning systems. As AI becomes more prevalent in critical business applications, understanding and mitigating risks such as adversarial attacks, data poisoning, model theft, and prompt injection becomes critical. This book provides practical guidance for extending traditional threat modeling frameworks to address these emerging AI-specific threats. Beyond technical applications, we address the organizational aspects of threat modeling, providing guidance on building and sustaining effective threat modeling practices within an organization. This includes team formation, tool selection, process integration, metrics development, and the creation of a threat modeling community of practice. Throughout this book, real-world case studies from organizations illustrate how threat modeling principles translate into practical security improvements and business value. These examples demonstrate not only the technical aspects of threat modeling but also the organizational commitment and cultural changes required for successful implementation.