A focused practitioner course on the two things traditional IT monitoring and incident response handle poorly for AI systems: recognizing what a compromise looks like, and knowing what to do about it. The organizing idea is that an AI system inherits every traditional attack surface and then adds more, tied to data, models and inference behavior. An attacker can manipulate what a model learns from, or what it sees at run time, without ever reaching the infrastructure. Monitoring has to shift accordingly, from "is the system running" to "is the system behaving as intended, on data it should be seeing, for the purposes it was approved for."
The most useful thing participants take away is the ability to tell model drift from an actual attack. A signals table maps observed patterns to likely causes — a sustained spike in near-identical unusual inputs suggests adversarial probing, a slow accuracy decline suggests drift, an unexplained query spike from a single credential suggests an extraction attempt — and it pairs with a first-hour triage sequence. The course then works on judgment: separating anomalies from incidents, preserving the evidence responders most often lose (the model version in use, the surrounding prompt and response logs, training data lineage, and the guardrail configuration in effect), and classifying severity by impact rather than technical complexity. That last point changes behavior: an incorrect eligibility or pricing decision caused by a data integrity failure is high severity even though nothing technically broke. The closing module applies the four-phase incident response lifecycle with AI-specific containment — model rollback to a validated version, disabling automated decision-making in favor of human review, quarantining a compromised training data source, and closing a confirmed prompt injection vector.
Foundational cybersecurity knowledge. Familiarity with AI and machine learning terminology is helpful but not required.
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The teaching method at Noble Desktop is perfect and the classes provide you with infinite knowledge that makes you eager to take everything they offer. I love Noble!
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Refresh the materials for free within one year
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 interact with, oversee, monitor or respond to security concerns involving AI systems in day-to-day operations: SOC analysts and security operations staff, security officers supporting AI systems, AI system owners, and program staff accountable for an AI-informed decision process. Familiarity with AI and machine learning terminology helps but is not required.
Foundational cybersecurity knowledge. Familiarity with AI and machine learning terminology is helpful but not required.
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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We don’t currently offer discounts as we do our best to affordably prices our courses.
