Secure AI and ML Coding Essentials from Tonex, Inc.

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

Overall Proficiency Level

2 - Intermediate

Course Catalog Number

T101

Course Prerequisites

None

Training Purpose

Functional Development

Management Development

Specific Audience

All

Delivery Method

Online, Instructor-Led

Online, Instructor-Led

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

Design and Development

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

Work Roles

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.