This comprehensive training course delves into the integration of Artificial Intelligence (AI) within cybersecurity systems engineering. Participants will explore the intersection of advanced AI technologies and cybersecurity methodologies to build robust, adaptive defense mechanisms against evolving cyber threats.
Through a blend of theoretical insights, practical exercises, and case studies, participants will gain a deep understanding of how AI can enhance threat detection, incident response, and overall cybersecurity posture within complex organizational environments.
Learning Objectives
- Understand the fundamentals of cybersecurity systems engineering.
- Explore the role of artificial intelligence (AI) in cybersecurity.
- Learn how to integrate AI technologies into cybersecurity systems.
- Gain knowledge of different AI-driven cybersecurity approaches and techniques.
- Develop skills in designing and implementing AI-driven cybersecurity solutions.
- Understand the ethical and legal considerations of using AI in cybersecurity.
- Explore real-world case studies and examples of AI-driven cybersecurity applications.
- Learn best practices for evaluating and improving AI-driven cybersecurity 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):
Specialty Areas
- Vulnerability Assessment and Management
- Threat Analysis
- Systems Architecture
- Risk Management
- Systems Development
Feedback
If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.