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Secure AI and ML Coding Essentials
"Secure AI and ML Coding Essentials" provides AI developers with coding practices to protect models from leakage, tampering, and adversarial manipulation. Participants learn how to securely manage training data, use safe libraries, and implement cryptographic protections for models in deployment. This course is essential to ensure AI applications do not introduce exploitable vulnerabilities into enterprise or defense environments.
Course Overview
None
Learning Objectives
- Understand the security challenges specific to AI and ML code.
- Learn best practices for writing secure AI/ML code, including data handling and model deployment.
- Identify and mitigate vulnerabilities related to data poisoning and adversarial attacks.
- Implement secure practices for training and deploying AI/ML models.
- Secure AI and ML coding is a growing area of cybersecurity, addressing threats unique to intelligent systems.
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.