Course Overview
Learning Objectives
- Understand the principles of Zero Trust in AI infrastructure.
- Implement security measures for data at rest and in transit.
- Apply authentication and authorization mechanisms in a Zero Trust environment.
- Explore the role of AI in enhancing security protocols.
- Implement network segmentation strategies for enhanced security.
- Utilize AI-based anomaly detection for real-time threat identification.
- Develop incident response plans in a Zero Trust framework.
- Ensure compliance with relevant regulations and standards.
- Evaluate and select appropriate AI technologies for Zero Trust implementations.
- Collaborate with cross-functional teams to implement and maintain a Zero Trust AI infrastructure.
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):