Network Security Technology--Machine Learning-Based Security Systems: The Dawn of Intelligent Security

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In order to secure computing resources from the highly sophisticated threats that are emerging everyday, cybersecurity innovators are developing intelligent defence tools leveraging machine learning that can learn from their own experience and bolster security. This issue of Network Security Technology provides a snapshot of machine learning-based security systems, key areas of transformation and key industry initiatives in this security space. It highlights eight innovative machine learning-based security solutions and also provides insights on funding trends and patents.Network Security Technology’s mission is to investigate new and emerging developments that aim to protect the network infrastructure and th

Table of Contents

Network Security Technology--Machine Learning-Based Security Systems: The Dawn of Intelligent SecurityMachine Learning-Based Security Systems– Overview and Trends Machine Learning-Based Security Systems–Overview of the TopicThreat and Anomaly Detection Risk AnalyticsUser, Endpoint and Network Behavior Intelligent Security PlatformReal-time Threat Detection Analyst PortalMulti-layered Endpoint Security ProtectionMobile Threat Security SolutionMachine Learning-Based Automated Threat ManagementWeb Application Firewall Using Artificial Intelligence Real Time User Behavior Analytics Using Machine Learning Key Funding Initiatives for Machine Learning-Based Security SystemsKey Patents–EuropeKey Patents—United StatesIndustry Contacts




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