AI Security Fundamentals - LLM Threats and OWASP Principles 2026
Securing LLM Applications with Threat Mitigation and OWASP Guidelines
Created by Anand Rao Nednur
Explore how to secure large language model applications by tackling threats like prompt injection and data poisoning. You'll learn to apply OWASP principles and practical strategies to keep AI systems safe and compliant in real-world environments.
Packt | Nov 2025 | 371 min
What You Will Learn
You'll work through real-world case studies and hands-on scenarios that highlight common and emerging threats to LLMs. By applying proven security frameworks and practical mitigation techniques, you'll build confidence in designing and deploying safer AI systems.
Key Features
- Identify and mitigate prompt injection and data poisoning threats in LLMs
- Apply OWASP security principles to strengthen AI application defenses
- Develop practical skills for managing compliance and privacy in AI systems
Target Audience
Designed for AI developers, security engineers, and data scientists with some background in AI or cybersecurity. If you're responsible for building or securing LLM applications and want to strengthen your approach to risk management and compliance, this course is a strong fit.
