Cybersecurity is the next frontier for AI and ML | The Machine - VentureBeat

This story originally appeared on Raffy.ch. Copyright 2021

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Raffael Marty, technology executive, entrepreneur observes , Before diving into cybersecurity and how the industry is using AI at this point, let’s define the term AI first. 

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Artificial intelligence (AI), as the term is used today, is the overarching concept covering machine learning (supervised, including deep learning, and unsupervised), as well as other algorithmic approaches that are more than just simple statistics. These other algorithms include the fields of natural language processing (NLP), natural language understanding (NLU), reinforcement learning, and knowledge representation. These are the most relevant approaches in cybersecurity.

Given this definition, how evolved are cybersecurity products when it comes to using AI and ML?...

How AI is used in security

Generally, I see the correct application of AI in the supervised machine learning camp where there is a lot of labeled data available: malware detection (telling benign binaries from malware), malware classification (attributing malware to some malware family), document and website classification, document analysis, and natural language understanding for phishing and BEC detection. There is some early but promising work being done on graph (or social network) analytics for communication analysis. But you need a lot of data and contextual information that is not easy to get your hands on. Then, there are a couple of companies that are using belief networks to model expert knowledge, for example, for event triage or insider threat detection. But unfortunately, these companies are a dime a dozen.

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Source: VentureBeat