Adversarial AI Attacks, Mitigations, and Defense Strategies: A cybersecurity professional's guide to AI attacks, threat modeling, and securing AI with MLSecOps Paperback – 26 July 2024

Understand how adversarial attacks work against predictive and generative AI, and learn how to safeguard AI and LLM projects with practical examples leveraging OWASP, MITRE, and NIST
Key Features:
- Understand the connection between AI and security by learning about adversarial AI attacks
- Discover the latest security challenges in adversarial AI by examining GenAI, deepfakes, and LLMs
- Implement secure-by-design methods and threat modeling, using standards and MLSecOps to safeguard AI systems
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description:
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 cybersecurity professionals with the skills to secure AI technologies, moving beyond research hype or business-as-usual strategies.