• Online, Instructor-Led

Learning Objectives

  • Understand the fundamentals of artificial intelligence (AI) in cybersecurity.
  • Identify potential AI threats and vulnerabilities in a given system.
  • Develop effective defense strategies to mitigate AI-based attacks.
  • Explore advanced techniques for AI-driven threat detection and response.
  • Gain insights into the ethical considerations and legal aspects of AI in cybersecurity.
  • Apply machine learning algorithms for anomaly detection and pattern recognition in security data.
  • Implement AI-driven incident response plans and procedures.
  • Assess the effectiveness of AI defense mechanisms through practical simulations.
  • Collaborate with cross-functional teams to integrate AI defense strategies into existing security frameworks.
  • Stay updated on the latest trends and developments in AI security to adapt strategies accordingly.

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):