Secure AI by Design - Frameworks for GenAI and Agentic Systems
Build resilient AI systems with proven risk management and compliance strategies.
Created by Derek Fisher
Explore how to secure generative AI and agentic systems using trusted frameworks like NIST AI RMF, OWASP LLMSecOps, and MITRE ATLAS. Gain practical strategies for embedding governance, compliance, and robust security practices into every stage of AI development.
Packt | Feb 2026 | 328 min
What You Will Learn
You will connect industry frameworks to practical implementation by analyzing real-world scenarios and mapping controls to regulations. Through hands-on exercises and guided walkthroughs, you will learn to translate AI risk into measurable security practices that align with organizational goals.
Key Features
- Apply leading AI security frameworks to real-world enterprise scenarios
- Map and manage AI-specific risks using structured taxonomies and controls
- Integrate LLMSecOps practices for secure and compliant AI operations
Target Audience
Ideal for security architects, AI engineers, risk professionals, and compliance leaders who are responsible for deploying or governing AI systems. If you have a solid grasp of cybersecurity concepts and some familiarity with AI or machine learning, you will be well positioned to apply these frameworks and strategies to your projects.
