Artificial Intelligence for Cybersecurity

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Sam Sehgal

1:43:50

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01 - Introduction

01 - Unleashing the power of AI for cybersecurity.mp4

00:46

02 - What you should know.mp4

00:22

02 - 1. Demystifying Artificial Intelligence for Cybersecurity

01 - Defining artificial intelligence.mp4

05:30

02 - Applying AI to cybersecurity.mp4

05:45

03 - Disciplines of artificial intelligence.mp4

03:32

04 - Role of machine learning in AI.mp4

03:47

05 - Discriminative AI vs. generative AI.mp4

02:26

03 - 2. Cybersecurity Gaps and Goals

01 - CIA model of security.mp4

02:03

02 - Cybersecurity framework.mp4

01:44

03 - Resource challenges.mp4

02:14

04 - Prevention, detection, and response.mp4

04:04

04 - 3. Solving Cybersecurity Problems with AI

01 - Intrusion detection at scale.mp4

05:44

02 - Insider threat.mp4

05:34

03 - Phishing and decision errors.mp4

06:55

04 - Speed of incidence response.mp4

03:46

05 - AI-generated threats.mp4

05:01

05 - 4. Applying Machine Learning to Security

01 - Choosing the right ML approach.mp4

04:36

02 - Prediction by regression.mp4

02:24

03 - Classification Intruder or not.mp4

02:09

04 - Security anomaly detection.mp4

03:26

05 - GAN, BERT, GPT, and more.mp4

05:35

06 - 5. Practical Considerations, Risks, and Limitations

01 - The ways AI can fail you.mp4

01:08

02 - Limitations and poor design.mp4

02:21

03 - Attack against your AI.mp4

06:16

04 - Criminals use AI too.mp4

04:27

05 - Recipe for a successful AI project.mp4

05:50

06 - How to choose AI-based security products.mp4

05:24

07 - Conclusion

01 - Next steps.mp4

01:01

Description

Find out how to unleash the power of AI for cybersecurity. Cloud and application security leader Sam Sehgal guides you through using AI, with the needed preparation and guardrails, to solve complex cybersecurity problems. Sam defines artificial intelligence and goes over how to apply AI to cybersecurity. He reviews the disciplines of artificial intelligence, as well as the role of machine learning, and he shows you how to differentiate between discriminative AI and generative AI. Sam details the importance of confidentiality, integrity, and availability in any cybersecurity goal and goes over several cybersecurity gaps and goals. Then he dives into actually solving cybersecurity problems with AI and the myriad ways you can apply machine learning to security.

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Artificial Intelligence

Cyber Security

Cyber Security Awareness

Sam Sehgal

Instructor's Courses

Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.