AI Cybersecurity: Attack and Defend

Overview

🕮 Off the shelf (OTS)

This 3-day course explores the intersection of AI and cybersecurity, starting with the fundamentals of AI technologies such as machine learning, deep learning, and natural language processing, as well as their applications in various industries. The content delves into mitigating risks associated with AI adoption, including risk management and ethical considerations, and identifying vulnerabilities in AI systems.

The importance of integrating AI into security operations is covered through the use of AI for intrusion detection, threat intelligence, and automated incident response, as well as AI’s potential for transforming hacking techniques while highlighting AI-powered attacks and tools.

The course also emphasizes the need for aligning AI with common security frameworks and regulatory compliance, as well as exploring future trends such as federated learning, AI-powered cyber deception, quantum computing for AI, explainable AI, and AI-driven security automation. Note public courses include 1-hour free post-course coaching.

As a prerequisite, attendees should have foundational knowledge in networking and cybersecurity.