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Dublin, November 15, 2021/PRNewswire/-ResearchAndMarkets.com has added the "Artificial Intelligence, Digital Twins, and Human-Machine Trust/Threat Detection in Cyber ​​Security 2021-2026" report.

This research examines security technologies and solutions, while assessing risks and operational issues related to current and anticipated cyber security technologies. The report also analyzed regional impacts including North America, Europe, Asia Pacific, Middle East, Africa and Latin America. It also examines security technologies and solutions, while assessing risks and operational issues related to current and anticipated cyber security technologies. The report also analyzed regional impacts including North America, Europe, Asia Pacific, Middle East, Africa and Latin America.

The study also evaluated artificial intelligence in the ICT ecosystem, including technologies, solutions, and participants. Application areas covered include marketing and business decision-making, workplace automation, predictive analysis and prediction, fraud detection and mitigation. It evaluates digital twin technologies, solutions, use cases, and leading companies' R&D and early deployment efforts. The report assesses the ecosystem of digital twin products and services, including application development and operations. This includes considering use cases by industry vertical.

The study also evaluated the machine trust market. This includes human-machine threat detection and damage mitigation systems in the human-machine and machine-machine security framework. The report evaluates the market from the perspective of technology and solutions, as well as related services. The report also assessed cross-industry verticals and unique methods of government departments, and forecasted the situation from 2021 to 2026.

Threat Detection and Damage Mitigation (TDDM) refers to those processes, procedures, and tools that enable organizations to accurately identify potential threats to networks, systems, applications, and/or other assets, emphasizing the ability to preemptively respond to security incidents and/or mitigation damage.

More advanced TDDM solutions go beyond human-led threat detection and mitigation to autonomous M2M solutions. Whether the threat comes from a human or an autonomous computer program, the new vision of TDDM is to create a human-machine threat detection framework in which network operators and system administrators can choose their level of interaction and control.

Human-machine threat detection systems utilize various technologies, such as video surveillance, cloud-controlled cyber and physical robots, artificial intelligence, biometric security systems, and IoT solutions. Various combinations of automation technologies and technologies are used in the orchestration of human-controlled threat detection solutions. Solutions will have varying degrees of autonomy, including full autonomy, remote control (for example via handheld devices), and hybrid variants.

At the network service provider level, the network security market is heating up as operators realize that the emergence of 5G and other network advancements will increase network complexity, which will translate into more and more potential vulnerabilities. Therefore, communication service providers work unilaterally, but also work together to solve common network security problems. For example, AT&T recently became the first North American operator to join the Global Telecommunications Security Alliance, which was established last year with founding members Etisalat, Singtel, SoftBank, and Telefonica.

We see the evolving Internet of Things system and the emerging 5G network as new opportunities in the cyber security market. Leading companies such as Palo Alto Networks and Cyberlance (BlackBerry) are ready to use the market to protect networks, systems, applications and services based on the Internet of Things and 5G. We view artificial intelligence as a key tool for dealing with increasingly interconnected networks, devices, and open data access. This is because AI solutions focus on behavior rather than relying on identifying malware signatures.

Key topics covered: Cybersecurity market 2021-2026 by market segment (consumer, enterprise, industry, government), use case, solution type (hardware, software, and data), and industry vertical segmentation

Artificial Intelligence in Information and Communication Technology 2021-2026: Artificial Intelligence and Cognitive Computing in Communications, Applications, Content and Business

Digital twin market by technology, twin type, network-to-physical solutions, use cases and applications in vertical industries from 2021 to 2026

Human and machine trust/threat detection and damage mitigation market 2021-2026 by technology, solution, deployment model, use case, application, sector (consumer, enterprise, industry, government), industry vertical and region

For more information about this report, please visit https://www.researchandmarkets.com/r/dj7f74

Research and Marketing Laura Wood, Senior Manager [email protected] Call 1-917-300-0470 during US Eastern Time Office Hours, US/Canada Toll Free 1-800-526-8630 GMT Office Hours, Call 353-1-416-8900 US Fax: 646-607-1907 Fax (Outside the US): 353-1-481-1716

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