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Archive: December 2019

Machine Learning in Cybersecurity

Machine Learning in Cybersecurity

• CERT/CC Blog
Jonathan Spring

We recently published a report that outlines relevant questions that decision makers who want to use artificial intelligence (AI) or machine learning (ML) tools as solutions in cybersecurity should ask of machine-learning practitioners to adequately prepare for implementing them. My coauthors are Joshua Fallon, April Galyardt, Angela Horneman, Leigh Metcalf, and Edward Stoner. Our goal with the report is chiefly educational, and we hope it can act like an ML-specific Heilmeier catechism and serve as...

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