This capstone of the applied AI security path closes the gap between testing an AI system and defending the decision to run it. It separates two things organizations routinely conflate: red teaming, deliberately trying to break, mislead, or misuse a system, and assurance, the documented evidence that a system is trustworthy enough for its purpose. Participants run the engagement lifecycle end to end, scoping testing to the system's risk classification, setting objectives, writing rules of engagement that separate an exercise from an incident, and managing team composition and deconfliction, then match technique to attack surface, weighing manual testing against automated approaches.
Two things make this course unique. The first is agentic AI, where the attack surface expands from what a system says to what a system does. The second is assurance itself: rather than stopping at finding problems, the course builds the assurance case as claim, argument, and evidence an oversight body can audit, alongside TEV&V records, model and system cards, and how it all feeds a risk-acceptance decision. It also teaches the hard judgment calls, and by design uses scenario-based practice activities instead of a lab, so procurement and oversight staff can take it alongside the testers. It tops a path that runs from AI Security Fundamentals for the Cyber Workforce through Securing AI/ML Systems: Protecting the Intelligent Attack Surface and AI Security Monitoring and Incident Response.
This is an advanced capstone course. Participants should already understand AI and machine learning security fundamentals and be familiar with adversarial testing or assurance work.
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Attend this course live online or as self-paced training. Engage with expert instructors, ask questions, and get feedback on your exercises and projects.
Unlike other providers, these are not mass open-enrollment classes. At Noble Desktop, you’ll learn in small groups (typically 8-15 students) and receive personalized attention.
Get the same interactivity and access to the instructor as in-person students. There are no extra fees and we’ll work with you to ensure your remote setup is perfect.
Learn at your own pace with pre-recorded video lessons and hands-on exercises. Work through the material on your schedule with access to course content and resources.
Upon completion of this course, you’ll receive an official certificate testifying to your mastery of the curriculum. We’ll send you a link where you can download your certificate, share it online with your friends, post it to your professional network on LinkedIn, and view all your earned certificates. Congratulations on your achievement!
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We offer a single free retake of the class within a year.
Staff who plan, run, oversee or consume the results of adversarial testing for AI systems: AI program staff, security officers and security managers, testers and evaluators, data scientists, AI governance staff, and the procurement people who have to review a vendor's assurance claims and decide whether they hold up.
This is an advanced capstone course. Participants should already understand AI and machine learning security fundamentals and be familiar with adversarial testing or assurance work.
This course does not qualify for payment plans or student financing. See our Payment Plan FAQ to find related programs that qualify.
You may attend this training virtually (online) at the scheduled time the course is offered (New York, Eastern Time).
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