LLM Security in Practice
What you will learn
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Understand the top 10 security risks in LLM-based applications, as defined by the OWASP LLM Top 10 (2025).
Identify real-world vulnerabilities like prompt injection, model poisoning, and sensitive data exposure β and how they appear in production systems.
Learn practical, system-level defense strategies to protect LLM apps from misuse, overuse, and targeted attacks.
Gain hands-on knowledge of emerging threats such as agent-based misuse, vector database leaks, and embedding inversion.
Explore best practices for secure prompt design, output filtering, plugin sandboxing, and rate limiting.
Stay ahead of AI-related regulations, compliance challenges, and upcoming security frameworks.
Build the mindset of a secure LLM architect β combining threat modeling, secure design, and proactive monitoring.
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