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 the resources operating in the network. NST offers strategic insights that would help identify new business opportunities and enhance technology portfolio decisions by assessing new developments and product launches in: anti-spam, anti-virus, phishing, identity management, disaster recovery, firewalls, virtual private networks, end-point security, content filtering, web application security, authentication and access control, intrusion prevention and detection systems, encryption algorithms, cryptographic techniques, and pattern recognition systems for network security. Highlights of this service include technology roadmapping of network security technologies; IP portfolio analysis; information on funding and investment opportunities; evaluation of commercial opportunities from technology developments; technology assessment; analysis of technology accelerators and challenges and many more.

TechVision Information & Communication Technology cluster provides global industry analysis, technology competitive analysis, and insights into game-changing technologies in the wireless communication and computing space. Innovations in ICT have deeply permeated various applications and markets. These innovations have profound impact on a range of business functions for computing, communications, business intelligence, data processing, information security, workflow automation, quality of service (QoS) measurements, simulations, customer relationship management, knowledge management functions and many more. Our global teams of industry experts continuously monitor technology areas such as big data, cloud computing, communication services, mobile & wireless communication space, IT applications & services, network security, and unified communications markets. In addition, we also closely look at vertical markets and connected industries to provide a holistic view of the ICT Industry.

Keywords: Machine learning, endpoint security, threat analytics, behavior analytics, cybersecurity, firewall, mobile security, artificial intelligence

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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