Regulated industry execs say security detection tech falls short
A new report reveals that 74 percent of IT security directors in regulated industries in the US and UK find detection-based security technologies outdated and inadequate.
The study from Everfox shows more than three-quarters of those polled believe security teams in regulated industries must shift their mindset from detecting threats to preventing them. 62 percent agree that AI and emerging malicious actor trends are increasing attack sophistication.
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Machine Learning Techniques and Analytics for Cloud Security covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud security solutions.
The aim of this book is to integrate machine learning approaches to meet various analytical issues in cloud security. Cloud security with ML has long-standing challenges that require methodological and theoretical handling. The conventional cryptography approach is less applied in resource-constrained devices. To solve these issues, the machine learning approach may be effectively used in providing security to the vast growing cloud environment.