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No Starch Press
Harriet Farlow
Practical AI Security
N/A
2026
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Publisher > No Starch Press
Author > Harriet Farlow
Title > Practical AI Security
Issue > N/A
Year > 2026
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ISBN > 9781718504660
Pages > 595
Genre > Ai-Security
Language > English
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Type > RETAIL
Media > TECH
Format > .epub
Section > eBook
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Published > 2026-06
Release > 2026-06-26
Disks > 05 x 5 MB
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- - -- [ D E S C R I P T I O N ] -- - -
If youre a security practitioner learning to operate in AI environments, or
an ML engineer who needs to understand what adversaries actually do,
Practical AI Security gives you the technical foundation the field demands.
Built from first principles, this book takes you from how models fail to
how theyre exploited to how theyre defended and audited. Every technique
includes clear explanations and real-world examples, and you can run the
attacks and defenses yourself with over 30 hands-on Python demos.
Understand how different kinds of machine learning models create unique
vulnerabilities, and explore how these models are integrated into more
autonomous, agentic AI systems to introduce new weaknesses and risks.
Identify, exploit, and defend against dozens of weaknesses and attacks
across the AI life cycle, including data poisoning, model theft, and prompt
injection. Evaluate AI systems for safety failures, bias, and alignment
risks using structured benchmarking. Threat-model agentic systems, RAG
pipelines, and multimodal architectures using MITRE ATLAS, OWASP, and the
MAESTRO framework. Design and execute AI-specific red teaming campaigns,
and understand what makes them distinct from traditional security tests.
Conduct rapid risk audits and navigate AI governance frameworks for real
deployments. Whether you use, build, deploy, or oversee AI, this isnt niche
knowledgeits the foundation for defending the technologies that will define
the next era of human progress.
- - -- [ R E T A I L U R L ] -- - -
https://bookshop.org/p/books/the-ai-security-handbook-harriet-
farlow/a714eafd9b179839
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