Tonex’s “Zero Trust AI Infrastructure Training” is a dynamic and insightful course designed for IT professionals, cybersecurity experts, and AI engineers seeking to fortify their expertise at the intersection of artificial intelligence and security. Participants will explore the fundamentals of Zero Trust architecture, learning to implement its principles effectively within AI infrastructure. With a focus on securing AI data, risk mitigation, and designing robust architectures, this course equips individuals with the skills to safeguard sensitive information and navigate the complexities of AI security. Real-world case studies and practical insights ensure a comprehensive understanding, making it an essential choice for those committed to advancing their proficiency in securing AI environments.
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):
Specialty Areas
- Risk Management
- Network Services
- Cyber Defense Infrastructure Support
- Cybersecurity Management
- Threat Analysis
Feedback
If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.