Artificial Intelligence for Cybersecurity

سرفصل های دوره

1. Introduction

001. Applying AI to information security

2. Demystifying Artificial Intelligence for Security

002. What is artificial intelligence

003. Artificial intelligence for security

004. Foundational disciplines of AI

005. Discipline of learning

3. Security Objectives and Approaches

006. End-to-end security framework

007. Security controls

4. Leveraging AI to Solve Complex Security Problems

008. Problem of scale

009. Problem of context

010. Problem of precision and accuracy

011. Problem of speed

5. Machine Learning for Security

012. Categories of machine learning

013. Prediction by regression

014. Classification of good versus bad

015. Clustering, pattern, and anomaly detection

016. Synthetic data generation

6. Practical Considerations, Risks, and Limitations

017. Three ways AI can fail you

018. One Limitations and poor implementation

019. Two Attack against your AI implementation

020. Three Use of AI by criminals

021. Getting your organization ready for AI

022. Evaluating AI-based products

7. Conclusion

023. Next steps

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تولید کننده: LinkedIn Learning (Lynda)