{"product_id":"practical-ai-security-isbn-9781718504660","title":"Practical AI Security","description":"\u003cb\u003eA forward-looking primer on how AI models and systems work, the attacks that can disrupt them, and what security measures the industry uses to keep them safe.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eArtificial intelligence now underpins everything from chatbots to national infrastructure, but with new capability comes new risk. Attacks like prompt injection, data poisoning, and model theft are already targeting the systems we rely on.\u003cbr\u003e\u003cbr\u003e\u003ci\u003ePractical AI Security\u003c\/i\u003e is a comprehensive foundation to the field—a 0-to-60 guide to everything you need to know at the intersection of AI and cybersecurity. Drawing real-world experience securing deployed systems, Harriet Farlow demystifies how modern AI works, why it’s vulnerable, and how to protect it. You’ll learn how AI systems differ from machine learning models, why that matters for security, and how to defend both.\u003cbr\u003e\u003cbr\u003eThrough clear explanations, real-world examples, and over 30 hands-on Python demos, you will:\u003cbr\u003e\u003cul\u003e\n\u003cli\u003eUnderstand how different kinds of machine learning models—from computer vision and language models to signal models—are built and how their architectures create unique vulnerabilities\u003c\/li\u003e\n\u003cli\u003eExplore how these models are integrated into more autonomous, agentic AI systems, and why deployment introduces new weaknesses and risks\u003c\/li\u003e\n\u003cli\u003eIdentify, exploit, and defend against dozens of weaknesses and attacks across the AI lifecycle, including data poisoning, model theft, and prompt injection\u003c\/li\u003e\n\u003cli\u003eUse industry frameworks such as OWASP and MITRE ATLAS to threat model different types of AI systems\u003c\/li\u003e\n\u003cli\u003eDesign and execute AI-specific red teaming campaigns, and understand what makes them distinct from traditional security tests\u003c\/li\u003e\n\u003cli\u003eExamine how AI itself can be weaponized in cybersecurity, including cases where AI attacks other AI\u003c\/li\u003e\n\u003cli\u003eBuild robust frameworks for AI risk management, assurance, and testing\u003c\/li\u003e\n\u003cli\u003eBridge technical and policy perspectives to strengthen AI security culture across organizations\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003eCovering fundamentals through to advanced topics—from adversarial machine learning and red teaming to risk management, governance, and AI safety—this book turns theory into skill. Even if you don’t think you’re technical now, you’ll finish with practical confidence and a security mindset.\u003cbr\u003e\u003cbr\u003eWhether you use, build, deploy, or oversee AI, this isn’t niche knowledge—it’s the foundation for defending the technologies that will define the next era of human progress.Foreword\u003cbr\u003eAcknowledgments\u003cbr\u003eIntroduction\u003cbr\u003e\u003cb\u003e\u003cbr\u003ePart I: AI and Security Fundamentals\u003c\/b\u003e\u003cbr\u003eChapter 1: What Is AI?\u003cbr\u003eChapter 2: Working with models\u003cbr\u003eChapter 3: The Threat Landscape\u003cbr\u003e\u003cb\u003e\u003cbr\u003ePart II: Attacking and Defending AI\u003c\/b\u003e\u003cbr\u003eChapter 4: Attacks and Weaknesses\u003cbr\u003eChapter 5: Defenses, Controls, and Mitigations\u003cbr\u003e\u003cb\u003e\u003cbr\u003ePart III: The AI Security Ecosystem\u003c\/b\u003e\u003cbr\u003eChapter 6: Red Teaming AI\u003cbr\u003eChapter 7: Attacking and Defending with AI\u003cbr\u003eChapter 8: Safety\u003cbr\u003eChapter 9: Governance\u003cbr\u003eChapter 10: What's Next for AI Security\u003cbr\u003eConclusion: A New Kind of Hacker\u003cbr\u003e\u003cbr\u003eIndex\u003cb\u003eHarriet Farlow\u003c\/b\u003e is the CEO and Founder of AI security company, Mileva Security Labs. Her PhD is in adversarial machine learning, and she holds a Masters in Cyber Security and a Bachelor in Physics and Biological Anthropology. She has spent ten years working at the intersection of AI and security, as a Senior Consultant at Deloitte Australia, a data scientist at Sydney University, Senior Delivery Lead at New York-based start-up Decoded, and as acting Technical Director at the Australian Signals Directorate’s AI Hub. She now runs Mileva Security Labs, which provides AI assessment, advisory and training. As a previous DEF CON speaker she is also passionate about educating on AI security issues through her youtube channel HarrietHacks and as the host of The AI Security Podcast.","brand":"No Starch Press","offers":[{"title":"Default Title","offer_id":48233486254309,"sku":"NP9781718504660","price":49.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781718504660.jpg?v=1767735031","url":"https:\/\/k12savings.com\/es\/products\/practical-ai-security-isbn-9781718504660","provider":"K12savings","version":"1.0","type":"link"}