CIS 191 - Securing the AI Lifecycle

Credit(s) 3.00
Lecture Hours: 3.00
This course examines the security challenges and safeguards for AI systems throughout their lifecycle - from data collection and preprocessing to deployment, monitoring, and retirement. Students will learn secure data handling, privacy protection, secure AI coding practices, deployment hardening, and compliance with regulatory frameworks. Through labs and projects, they will design and implement secure AI solutions aligned with legal and ethical requirements. No

Prerequisite(s):

CIS 106

SLOs:
Upon successful completion of this course, students will be able to:

Identify security risks at each stage of the AI lifecycle.
Apply secure coding practices to AI model development.
Implement privacy-preserving methods for AI datasets.
Design secure AI deployment architectures.
Develop monitoring and incident response plans for AI systems.
Ensure AI solutions comply with data protection regulations.