Artificial Intelligence for Cybersecurity

Offered By: LinkedIn Learning

Tags

Cybersecurity Courses Artificial Intelligence Courses Machine Learning Courses Incident Response Courses Anomaly Detection Courses Regression Analysis Courses Classification Courses Intrusion Detection Courses Phishing Courses Insider Threats Courses

Course Description

Overview

Learn how you can use AI—with appropriate preparation and guardrails—to address complex problems in cybersecurity.

Syllabus

Introduction

Unleashing the power of AI for cybersecurity
What you should know

1. Demystifying Artificial Intelligence for Cybersecurity

Defining artificial intelligence
Applying AI to cybersecurity
Disciplines of artificial intelligence
Role of machine learning in AI
Discriminative AI vs. generative AI

2. Cybersecurity Gaps and Goals

CIA model of security
Cybersecurity framework
Resource challenges
Prevention, detection, and response

3. Solving Cybersecurity Problems with AI

Intrusion detection at scale
Insider threat
Phishing and decision errors
Speed of incidence response
AI-generated threats

4. Applying Machine Learning to Security

Choosing the right ML approach
Prediction by regression
Classification: Intruder or not
Security anomaly detection
GAN, BERT, GPT, and more

5. Practical Considerations, Risks, and Limitations

The ways AI can fail you
Limitations and poor design
Attack against your AI
Criminals use AI too
Recipe for a successful AI project
How to choose AI-based security products

Conclusion

Next steps

Taught by

Sam Sehgal

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