Artificial Intelligence-based Approach to Information Security

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Legacy security technologies are increasingly failing to protect against high-profile security breaches and threats to enterprise networks and endpoints. Fighting threats and protecting mission-critical data require intelligence and organizations are increasingly exploring artificial intelligence (AI)-based security techniques to mitigate threats in real time. This TOE highlights a set of innovative AI-based information security solutions that are currently available and their key capabilities in mitigating attacks on the network and endpoints.

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: Artificial intelligence, information security, pattern recognition, user behavior analytics, deep learning, machine learning, cognitive security, behavioral prediction, endpoint security, network security, malware protection, threat intelligence, industrial security, augmented intelligence

Table of Contents

Artificial Intelligence-based Approach to Information SecurityArtificial Intelligence-based Information Security – Overview and TrendsOverviewMachine Learning-based User and Entity Behavior AnalyticsDeep Learning-based Security Intelligence PlatformMachine Learning-based Network Attack Detection SolutionCognitive Security Solution for Zero-Day AttacksBehavioral Prediction Using Artificial IntelligenceAI and Heuristic Technique for Risk AssessmentAnomaly Detection in Industrial Control Systems through AI Machine Learning to Monitor Insider ThreatsIndustry Contacts




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