AI Red Teaming QAAIREDT-QA

QAAIREDT-QA
Cena na vyžiadanie

This two-day practical AI red teaming course provides security professionals with techniques and hands-on experience to systematically red team modern AI systems. It covers adversarial machine learning, Responsible AI violations, and emerging threats to AI agents. Participants will learn to assess vulnerabilities, execute advanced attacks, and apply defensive strategies using real-world AI deployments. The course emphasizes practical application through a custom-built red teaming platform and competitive lab challenges.

Systematically assess LLM applications for prompt injection, data extraction, and jailbreak vulnerabilities
Execute advanced attacks including Crescendo, Greedy Coordinate Gradient (GCG), Prompt Automatic Iterative Refinement (PAIR), and Tree of Attacks with Pruning (TAP)
Identify Responsible AI violations across bias, privacy, misinformation, and harmful content categories
Leverage automation tools for offensive AI security, benchmarking, and agent building

AI Red Teaming

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