One Article Review
| Source |  CSO |
|---|---|
| Identifiant | 8310614 |
| Date de publication | 2023-02-15 11:50:00 (vue: 2023-02-15 21:06:57) |
| Titre | BrandPost: The Future of Machine Learning in Cybersecurity |
| Texte | Machine learning (ML) is a commonly used term across nearly every sector of IT today. And while ML has frequently been used to make sense of big data-to improve business performance and processes and help make predictions-it has also proven priceless in other applications, including cybersecurity. This article will share reasons why ML has risen to such importance in cybersecurity, share some of the challenges of this particular application of the technology and describe the future that machine learning enables.Why Machine Learning Has Become Vital for Cybersecurity The need for machine learning has to do with complexity. Many organizations today possess a growing number of Internet of Things (IoT) devices that aren't all known or managed by IT. All data and applications aren't running on-premises, as hybrid and multicloud are the new normal. Users are no longer mostly in the office, as remote work is widely accepted.To read this article in full, please click here |
| Envoyé | Oui |
| Condensat | accepted across all also application applications are aren article become been big brandpost: business challenges click commonly complexity cybersecurity data describe devices enables every frequently full future growing has help here hybrid importance improve including internet iot known learning longer machine make managed many mostly multicloud nearly need new normal number office organizations other particular performance please possess predictions premises priceless processes proven read reasons remote risen running sector sense share some such technology term things today used users vital why widely will work |
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