AI Security Fundamentals for the Cyber Workforce (Self-Paced)

Self-paced online training with expert support

Bring the entire cyber workforce up to a working grasp of how AI and machine-learning systems are attacked and defended, grounded in MITRE ATLAS, the OWASP LLM Top 10, and the NIST AI RMF.

$899 6 clock hours Live Support Start anytime

This course includes

  • 6 hours of project-based training from experts
  • Answers from real instructors
  • Retake for free within 1 year
  • Access to class recordings (30 days)
  • Verified digital certificate of completion

This is the self-paced version. For live instruction, enroll in AI Security Fundamentals for the Cyber Workforce.

Far more organizations use AI than build it, and that shift alone puts AI systems inside the attack surface every security professional is already responsible for. This self-paced foundational course assumes you know cybersecurity and assumes nothing whatsoever about AI or machine learning. It starts by pinning down what these systems actually are when you look at them as a defender, then covers the AI threat landscape through MITRE ATLAS, what tends to go wrong with LLM-based applications through the OWASP Top 10 for LLM Applications, and how much further the attack surface stretches once autonomous AI agents are in play.

From there everything is connected back to the NIST AI Risk Management Framework, so the individual risks resolve into a structure you can govern against. The course finishes on the practical side — the defenses and working habits that let a team absorb AI into normal security operations: knowing what AI you have, filtering what goes in and what comes out, keeping tool access to least privilege, monitoring behavior, and placing human review where a decision needs a person in it.

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This course has a prerequisite

General cybersecurity knowledge. No AI or machine learning background is required.

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