Advancements in Machine Learning-based Security

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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.

Keywords: Threat detection, fraud prevention, cyber security, machine learning, artificial intelligence, identity and access management, user behavior analytics, data security

Table of Contents

Advancements in Machine Learning-based SecurityEmerging Machine Learning-based Security SolutionsMachine Learning-based Fraud Detection for Hospitality SectorProtecting Critical Assets for Federal BodiesAnalytics-driven Operational Intelligence for Modern ThreatsArtificial Intelligence-based Protection against Application Layer AttacksSecurity Investigation through Machine LearningMachine Learning-based Fraud Detection for E-commerceMachine Learning-based Threat Detection PlatformReal-Time Security Assessment Using AI AgentsStrategic InsightsMachine Learning-based Adaptive Security Solutions are Likely to Drive Adoption in the Coming YearsIndustry Contacts




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