Machine Learning in Cybersecurity: A Guide
Carnegie Mellon University Software Engineering Institute Pittsburgh United States
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This report lists relevant questions that decision makers should ask of machine-learning practitioners before employing machine learning ML or artificial intelligence AI solutions in the area of cybersecurity. Like any tool, ML tools should be a good fit for the purpose they are intended to achieve. The questions in this report will improve decision makers ability to select an appropriate ML tool and make it a good fit to address their cybersecurity topic of interest. In addition, the report outlines the type of information that good answers to the questions should contain.
- Computer Systems Management and Standards