- Machine Learning in Cybersecurity
we structured the report around the questions you should ask about ML tools. We chose this framing, rather than proposing a detailed guide of how to build an ML system in cybersecurity, because we want to enable you to learn what a good tool looks like.
1. What is your topic of interest?
2. What information will help you address the topic of interest?
3. How do you anticipate that an ML tool will address the topic of interest?
4. How will you protect the ML system against attacks in an adversarial, cybersecurity environment?
5. How will you find and mitigate unintended outputs and effects?
6. Can you evaluate the ML tool adequately, accounting for errors?
7. What alternative tools have you considered? What are the advantages and disadvantages of each one?
https://insights.sei.cmu.edu/cert/2019/12/machine-learning-in-cybersecurity.html
