Artificial Intelligence for Cybersecurity
1h 44mIntermediate2023-10-05
Authors

Sam Sehgal
Cloud and Application Security Leader
Course details
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.
Skills covered
Incident ResponseArtificial Intelligence FoundationsCybersecurityArtificial Intelligence (AI)One-Off
Concepts
0. Introduction
- 01 - Unleashing the power of AI for cybersecurity
- 02 - What you should know
1. Demystifying Artificial Intelligence for Cybersecurity
- 03 - Defining artificial intelligence
- 04 - Applying AI to cybersecurity
- 05 - Disciplines of artificial intelligence
- 06 - Role of machine learning in AI
- 07 - Discriminative AI vs. generative AI
2. Cybersecurity Gaps and Goals
- 08 - CIA model of security
- 09 - Cybersecurity framework
- 10 - Resource challenges
- 11 - Prevention, detection, and response
3. Solving Cybersecurity Problems with AI
- 12 - Intrusion detection at scale
- 13 - Insider threat
- 14 - Phishing and decision errors
- 15 - Speed of incidence response
- 16 - AI-generated threats
4. Applying Machine Learning to Security
- 17 - Choosing the right ML approach
- 18 - Prediction by regression
- 19 - Classification - Intruder or not
- 20 - Security anomaly detection
- 21 - GAN, BERT, GPT, and more
5. Practical Considerations, Risks, and Limitations
- 22 - The ways AI can fail you
- 23 - Limitations and poor design
- 24 - Attack against your AI
- 25 - Criminals use AI too
- 26 - Recipe for a successful AI project
- 27 - How to choose AI-based security products
Conclusion
- 28 - Next steps
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