AI Security Guide: Protecting Production Systems

advanced 1 min read updated 20 Mar 2026

Welcome to this comprehensive guide on AI security. Here, you will explore critical vulnerabilities such as prompt injection, jailbreak attacks, data poisoning, and tool misuse, understanding their mechanisms and impact. This section provides the knowledge and strategies needed to protect AI systems and design robust, production-ready AI applications safely.

Chapters

  1. 01 Prevent Tool Misuse and Insecure Outputs in Agentic AI 18m
  2. 02 Build Live Runtime Defenses for Secure AI Agents in Production 21m
  3. 03 AI Security Fundamentals: Protecting LLMs and Autonomous Agents 11m
  4. 04 Secure LLM and Agent Systems with AI Threat Modeling 13m
  5. 05 Continuous Security: Adversarial Testing, Monitoring & Human Oversight 15m
  6. 06 Understanding and Defending Against AI Data Poisoning 15m
  7. 07 Insecure AI System Design & Supply Chain Security 16m
  8. 08 Jailbreaking and Evasion Techniques: Bypassing Safeguards 22m
  9. 09 OWASP Top 10 for LLMs: Guarding Against AI Application Threats 259m
  10. 10 Building a Secure LLM Interaction Layer in Python 24m
  11. 11 Prompt Injection: The Art of Manipulation (Direct & Indirect) 13m
  12. 12 Building Secure AI Applications: A Defense-in-Depth Approach 20m