Artificial Intelligence and Machine Learning in Cybersecurity: Creating Meaning with the Terms
This IDC Market Perspective provides formal definitions of artificial intelligence (AI) and machine learning (ML) as they are applied to a multitude of use cases across various vertical markets. As cybersecurity vendors look to differentiate their offering and appeal to sophisticated, knowledgeable, and astute audiences, the market messages commonly promote the analytics buzzwords such as artificial intelligence and machine learning. Yet the buzzwords are seldom defined and hardly have a shared meaning among practitioners in the industry. The result is confusion. As a result, IDC presents our formal definitions of artificial intelligence and machine learning pertaining to cybersecurity, including illustrative examples, to help provide clarity to manner in which the terms are used throughout our research."The goal of cybersecurity marketers is to create the conditions that allow a customer to self-select themselves to buy. To do so, a greater precision is needed in the way the terms artificial intelligence and machine learning are used in marketing message. Thus the finely defined, functional aspects of a product become the supporting proofs to satisfy resolving or alleviating the problem better than an alternative," according to Frank Dickson, research vice president, Cybersecurity Products.
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