One Article Review
| Source |  CSO |
|---|---|
| Identifiant | 5486426 |
| Date de publication | 2022-06-28 02:00:00 (vue: 2022-07-01 09:05:33) |
| Titre | Adversarial machine learning explained: How attackers disrupt AI and ML systems |
| Texte | As more companies roll out artificial intelligence (AI) and machine learning (ML) projects, securing them becomes more important. A report released by IBM and Morning Consult in May stated that of more than 7,500 global businesses, 35% of companies are already using AI, up 13% from last year, while another 42% are exploring it. However, almost 20% of companies say that they were having difficulties securing data and that it is slowing down AI adoption.In a survey conducted last spring by Gartner, security concerns were a top obstacle to adopting AI, tied for first place with the complexity of integrating AI solutions into existing infrastructure.To read this article in full, please click here |
| Envoyé | Oui |
| Condensat | 500 adopting adoption adversarial almost already another are article artificial attackers becomes businesses click companies complexity concerns conducted consult data difficulties disrupt down existing explained: exploring first from full gartner global having here how however ibm important infrastructure integrating intelligence last learning machine may more morning obstacle out place please projects read released report roll say securing security slowing solutions spring stated survey systems than them tied top using year |
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