AI courses

Practice security work alongside AI drafts, and learn how AI is governed. Everything in the labs is simulated. The AI drafts are written in advance, and some contain mistakes for you to catch.

AI for Security Operations

Work real SOC tasks alongside scripted AI drafts: some are right, some carry planted mistakes, and you decide what ships.

Hands-on lab
45 min
Building Detection Rules with AI
Investigate a Log4Shell exploitation, separate a failed JNDI lookup from one that executed, and tune an AI-drafted detection into a live Splunk alert.
Hands-on lab
40 min
AI-Powered SOC Triage
Work a queue of Splunk alerts in severity order, cross-reference the handover notes, and connect the address that ties three alerts into one incident.
Hands-on lab
40 min
AI-Assisted Phishing and Email Analysis
Triage reported messages against SPF, DKIM, and DMARC, pull the real link targets from the HTML, and check artifacts against a reputation lookup.
Challenge
60 min
AI-Assisted Cloud IR: AWS Logs
Reconstruct a cloud attack chain from CloudTrail back to an SSRF request against the metadata endpoint, then follow the persistence and data theft.
Challenge
60 min
AI-Assisted Cloud IR: Azure Logs
Follow an Entra ID takeover from a password spray through a registered authentication method, a Global Administrator grant, and a backdoor app registration.
Theory module
20 min
Why AI needs its own governance, risk, and compliance approach
Separates established GRC, AI security, and AI governance, and lands on the four decisions that need a named owner.
Theory module
20 min
AI governance structures and roles
Covers centralized, federated, and embedded governance models, the roles they depend on, and the decision rights that keep accountability clear.

AI Governance, Risk & Compliance

How to govern AI: what is different about its risk, who owns which decision, and how to organize for it.