AI analyzes relationships between threats like malicious files, suspicious IP addresses or insiders in seconds or minutes. AI provides curated risk analysis, reducing the time security analysts take to make critical decisions and remediate threats. In this course, we discuss how AI is helping organizations protect themselves against cyber-attacks. This includes the fundamental components of AI, such as sandboxes and trained data, as well as the logic used in machine learning, neural networks, and deep learning.
Learning Objectives
Upon successful completion of this course, learners should have the knowledge and skills to:
- Perform Threat Analysis with AI
- Understand AI logic and specific use cases of AI in the threat detection landscape
- Use AI for application development, malware analysis, and user behavioral analytics
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):