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AI Security Essentials: Strategies for Securing Artificial Intelligence Systems with the NIST AI Risk Management Framework
Your Complete Guide to Securing Artificial Intelligence with the NIST AI Risk Management Framework
In an era where artificial intelligence is revolutionizing every industry — from finance and healthcare to defense and education — AI Security Essentials delivers the clarity and direction professionals need to secure these powerful systems. This hands-on guide offers a comprehensive, real-world introduction to AI security using the official NIST AI Risk Management Framework (AI RMF 1.0). Whether you’re a technical expert, team leader, policy advisor, or aspiring AI security specialist, this book equips you with the knowledge to make confident, secure decisions in the age of AI.
What You’ll LearnWritten by renowned cybersecurity expert Jason Dion and legal technology strategist Alyson Laderman, this book dives into the core principles of AI security while aligning with the NIST AI RMF. You'll
The fundamentals of AI, ML, deep learning, NLP, and GenAI
Key risks, threats, and societal impacts of AI technologies
The full AI from planning and deployment to governance and risk mitigation
AI-specific threat actors, attack vectors, and vulnerabilities
How to operationalize trust, transparency, and ethics in AI systems
How to build and use AI maturity models to assess readiness
Detailed breakdowns of the Govern, Map, Measure, and Manage functions of the NIST AI RMF
Practical case studies, real-world examples, and hands-on strategies for securing AI infrastructure
Exam preparation for the AKYLADE AI Security Foundation (A/AISF) certification
Your Path to CertificationThis book an official textbook for the AKYLADE AI Security Foundation (A/AISF) certification exam, providing everything you need to pass on your first try. It
Comprehensive coverage of all 4 functions, 19 categories, and 72 subcategories of the NIST AI RMF
End-of-chapter summaries and review materials
A full appendix with A/AISF exam objectives, references, and a glossary
FREE bonus materials and practice exams via
Who This Book Is ForAI/ML engineers, cybersecurity analysts, DevSecOps teams
Legal and compliance professionals navigating AI regulations and risk management
CTOs, CISOs, and IT managers integrating AI into business strategy
Students and professionals preparing for the A/AISF exam
Anyone looking to align with ethical AI deployment practices
Why This Book MattersAs organizations adopt AI at breakneck speed, they often overlook the security, privacy, and ethical risks involved. AI Security Essentials bridges that critical knowledge gap — grounded in U.S. government guidance but accessible to a global audience. It’s not just a study guide — it’s a career-launching reference for the evolving field of AI security.
Whether you're just starting out or leading your organization’s AI strategy, AI Security Essentials is your trusted companion in building secure, ethical, and responsible AI systems.
In an era where artificial intelligence is revolutionizing every industry — from finance and healthcare to defense and education — AI Security Essentials delivers the clarity and direction professionals need to secure these powerful systems. This hands-on guide offers a comprehensive, real-world introduction to AI security using the official NIST AI Risk Management Framework (AI RMF 1.0). Whether you’re a technical expert, team leader, policy advisor, or aspiring AI security specialist, this book equips you with the knowledge to make confident, secure decisions in the age of AI.
What You’ll LearnWritten by renowned cybersecurity expert Jason Dion and legal technology strategist Alyson Laderman, this book dives into the core principles of AI security while aligning with the NIST AI RMF. You'll
The fundamentals of AI, ML, deep learning, NLP, and GenAI
Key risks, threats, and societal impacts of AI technologies
The full AI from planning and deployment to governance and risk mitigation
AI-specific threat actors, attack vectors, and vulnerabilities
How to operationalize trust, transparency, and ethics in AI systems
How to build and use AI maturity models to assess readiness
Detailed breakdowns of the Govern, Map, Measure, and Manage functions of the NIST AI RMF
Practical case studies, real-world examples, and hands-on strategies for securing AI infrastructure
Exam preparation for the AKYLADE AI Security Foundation (A/AISF) certification
Your Path to CertificationThis book an official textbook for the AKYLADE AI Security Foundation (A/AISF) certification exam, providing everything you need to pass on your first try. It
Comprehensive coverage of all 4 functions, 19 categories, and 72 subcategories of the NIST AI RMF
End-of-chapter summaries and review materials
A full appendix with A/AISF exam objectives, references, and a glossary
FREE bonus materials and practice exams via
Who This Book Is ForAI/ML engineers, cybersecurity analysts, DevSecOps teams
Legal and compliance professionals navigating AI regulations and risk management
CTOs, CISOs, and IT managers integrating AI into business strategy
Students and professionals preparing for the A/AISF exam
Anyone looking to align with ethical AI deployment practices
Why This Book MattersAs organizations adopt AI at breakneck speed, they often overlook the security, privacy, and ethical risks involved. AI Security Essentials bridges that critical knowledge gap — grounded in U.S. government guidance but accessible to a global audience. It’s not just a study guide — it’s a career-launching reference for the evolving field of AI security.
Whether you're just starting out or leading your organization’s AI strategy, AI Security Essentials is your trusted companion in building secure, ethical, and responsible AI systems.
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Published September 8, 2025
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