John Sotiropoulos

Adversarial AI Attacks, Mitigations, and Defense Strategies (eBook, ePUB)

A cybersecurity professional's guide to AI attacks, threat modeling, and securing AI with MLSecOps

• Format: ePub

Produktbeschreibung

Adversarial attacks trick AI systems with malicious data, creating new security risks by exploiting how AI learns. This challenges cybersecurity as it forces us to defend against a whole new kind of threat. This book demystifies adversarial attacks and equips you with the skills to secure AI technologies, moving beyond research hype or business-as-usual activities.
This strategy-based book is a comprehensive guide to AI security, presenting you with a structured approach with practical examples to identify and counter adversarial attacks. In Part 1, you'll touch on getting started with AI and learn about adversarial attacks, before Parts 2, 3 and 4 move through different adversarial attack methods, exploring how each type of attack is performed and how you can defend your AI system against it. Part 5 is dedicated to introducing secure-by-design AI strategy, including threat modeling and MLSecOps and consolidating recent research, industry standards and taxonomies such as OWASP and NIST. Finally, based on the classic NIST pillars, the book provides a blueprint for maturing enterprise AI security, discussing the role of AI security in safety and ethics as part of Trustworthy AI.
By the end of this book, you'll be able to develop, deploy, and secure AI systems against the threat of adversarial attacks effectively.

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Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 586
• Erscheinungstermin: 26. Juli 2024
• Englisch
• ISBN-13: 9781835088678
• Artikelnr.: 71338063

Autorenporträt

John Sotiropoulos is a senior security architect at Kainos where he is responsible for AI security and works to secure national-scale systems in government, regulators, and healthcare. John has gained extensive experience in building and securing systems in roles such as developer, CTO, VP of engineering, and chief architect. A co-lead of the OWASP Top 10 for Large Language Model (LLM) Applications and a core member of the AI Exchange, John leads standards alignment for both projects with other standards organizations and national cybersecurity agencies. He is the OWASP lead at the US AI Safety Institute Consortium. An avid geek and marathon runner, he is passionate about enabling builders and defenders to create a safer future.