Active Learning as a powerful tool in the Cyber Security arsenal

When datasets are hard to label or highly skewed, Active Learning shows great potential to help both the algorithms and the analyst to make sense of data faster and more efficiently.

The promise of AI in cyber-security has long been that of helping humans to automate and simplify the daunting task of preventing data loss by detecting, tracking and blocking malicious software and intruders. AI is a tremendously powerful tool for such a task but, unlike what happens in other domains, gathering and labelling data to train any kind of engine/classifier is not only expensive but also hard.
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