Mastering LLM Integration Security: Offensive & Defensive Tactics QALLMSEC-QA

QALLMSEC-QA
Cena na vyžádání

This intensive two-day course explores the security risks and challenges introduced by Large Language Models (LLMs) as they become embedded in modern digital systems. Through AI labs and real-world threat simulations, participants will develop the practical expertise to detect, exploit, and remediate vulnerabilities in AI-powered environments.The course uses a defence-by-offence methodology, helping learners build secure, reliable, and efficient LLM applications. Content is continuously updated to reflect the latest threat vectors, exploits, and mitigation strategies, making this training essential for AI developers, security engineers, and system architects working at the forefront of LLM deployment.

Understand LLM-specific vulnerabilities such as prompt injection and excessive agency
Identify and exploit AI-specific security weaknesses in real-world lab environments
Design AI workflows that resist manipulation, data leakage, and unauthorised access
Apply best practices for secure prompt engineering
Implement robust defences in plugin interfaces and AI agent frameworks
Mitigate risks from data poisoning, overreliance, and insecure output handling
Build guardrails, monitor LLM activity, and harden AI applications in production environments

Mastering LLM Integration Security: Offensive & Defensive Tactics

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