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

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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