The fastest-growing specialty in security. Learn to identify and mitigate risks unique to AI/ML systems — from prompt injection to model poisoning and AI governance.
Understand the attack surface of Large Language Models: prompt injection, jailbreaks, data leakage, and insecure output handling.
Learn how to systematically test AI systems for safety and security failures before adversaries do.
Protect the ML pipeline from data poisoning, model stealing, and backdoor attacks.
Navigate the EU AI Act, NIST AI RMF, and build internal governance for responsible AI deployment.