網路安全的人工智能 (AI) 和機器學習 (ML) :用語的含義
Artificial Intelligence and Machine Learning in Cybersecurity: Creating Meaning with the Terms
|出版日期||內容資訊||英文 10 Pages
|網路安全的人工智能 (AI) 和機器學習 (ML) :用語的含義 Artificial Intelligence and Machine Learning in Cybersecurity: Creating Meaning with the Terms|
|出版日期: 2019年02月05日||內容資訊: 英文 10 Pages||
人工智能 (AI) 和機器學習 (ML) ，在各產業領域市場適用。
本報告提供網路安全相關人工智能 (AI) 和機器學習 (ML)的正式的定義相關的系統性資訊。
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.