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Certified AI Security Professional
The Certified AI Security Professional Course offers an in-depth exploration of the risks associated with the AI supply chain, equipping you with the knowledge and skills to identify, assess, and mitigate these risks.
Through hands-on exercises in our labs, you will tackle various AI security challenges. You will work through scenarios involving model inversion, evasion attacks, and the risks of using publicly available datasets and models. The course also covers securing data pipelines, ensuring model integrity, and protecting AI infrastructure.
We start with an overview of the unique security risks in AI systems, including adversarial machine learning, data poisoning, and the misuse of AI technologies. Then, we delve into security concerns specific to different AI applications, such as natural language processing, computer vision, and autonomous systems.
In the final sections, you'll map AI security risks against frameworks like the MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) and explore best practices for managing these risks. The course also covers secure AI development techniques, including differential privacy, federated learning, and robust AI model deployment.
By the end of this course, you will have a thorough understanding of the threats facing AI systems and strategies to secure them, ensuring the safe and ethical deployment of AI technologies in various industries.
Course Overview
Overall Proficiency Level
2 - Intermediate
Course Prerequisites
None
Training Purpose
Skill Development
Specific Audience
All
Delivery Method
Online, Self-Paced
Learning Objectives
1. Understand the critical role of AI security in protecting organizations from various threats.
2. Identify the types of attacks targeting AI systems, including adversarial attacks, data poisoning, and model inversions.
3. Develop strategies for assessing and mitigating security risks in AI models, data pipelines, and infrastructure.
4. Apply best practices for securing AI systems, leveraging guidance from frameworks like MITRE ATLAS and other industry standards.
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.
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