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Advancements in Machine Learning-based Security

  • ID: 4206080
  • Report
  • April 2017
  • Region: Global
  • 15 pages
  • Frost & Sullivan
Data breaches and other forms of cyber attacks continue to rise and enterprises are making more investments in security tools and solutions to mitigate threats and to defend against attacks. Recent trends in cyber security solutions are focused on developing security systems with their own machine intelligence for threat detection and mitigation in real time without human intervention. This edition of the Network Security TOE provides a snapshot of the emerging machine learning-based security solutions that are helping companies address rising security challenges and to evolve from a reactive to proactive cyber security strategy.

Network Security TechVision Opportunity Engine (TOE)’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.
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1. Emerging Machine Learning-based Security Solutions
  • Machine Learning-based Fraud Detection for Hospitality Sector
  • Protecting Critical Assets for Federal Bodies
  • Analytics-driven Operational Intelligence for Modern Threats
  • Artificial Intelligence-based Protection against Application Layer Attacks
  • Security Investigation through Machine Learning
  • Machine Learning-based Fraud Detection for E-commerce
  • Machine Learning-based Threat Detection Platform
  • Real-Time Security Assessment Using AI Agents
2. Strategic Insights
  • Machine Learning-based Adaptive Security Solutions are Likely to Drive Adoption in the Coming Years
  • Industry Contacts
Note: Product cover images may vary from those shown