-
Learn how to leverage artificial intelligence (AI) to solve complex problems in the field of information security. Along the way, explore the risks of using AI for security.
Artificial intelligence (AI)âwhen leveraged with preparation and guardrailsâis a game-changing approach to solving complex problems in cybersecurity. In this course, instructor Sam Sehgal delves into AI in the context of information security, providing use cases and practical examples that lend each concept a real-world context. Sam goes over the six main disciplines of AI and explains how to apply these disciplines to solve pressing security problems, such as the challenges of data at scale and speed in threat response. He covers machine learning techniques and their suitability for security issues, as well as the general limitations and risks of using AI for security. Plus, he shares how to best prepare your organization to apply AI-driven security.
Overview
Syllabus
-
Introduction
- Applying AI to information security
- What is artificial intelligence?
- Artificial intelligence for security
- Foundational disciplines of AI
- Discipline of learning
- End-to-end security framework
- Security controls
- Problem of scale
- Problem of context
- Problem of precision and accuracy
- Problem of speed
- Categories of machine learning
- Prediction by regression
- Classification of good versus bad
- Clustering, pattern, and anomaly detection
- Synthetic data generation
- Three ways AI can fail you
- One: Limitations and poor implementation
- Two: Attack against your AI implementation
- Three: Use of AI by criminals
- Getting your organization ready for AI
- Evaluating AI-based products
- Next steps
