DUBLIN--(BUSINESS WIRE)--The "Human and Machine Trust/Threat Detection and Damage Mitigation Market by Technology, Solution, Deployment Model, Use Case, Application, Sector(Consumer, Enterprise, Industrial, Government), Industry Vertical, and Region 2021 - 2026" report has been added to ResearchAndMarkets.com's offering.
This research evaluates the machine trust market. This includes human-machine threat detection and damage mitigation systems in both human-machine and machine-machine security frameworks. The report assesses the market from both technology and solution perspective and associated services. The report also evaluates unique approaches across industry verticals as well as the government sector with forecasts from 2021 to 2026.
Companies Mentioned
- 3D Robotics
- Airbus
- Alert Logic
- Analogic Corporation
- Armor Defense
- AT&T Cybersecurity
- Axis Communication AB
- Barracuda Networks
- Blighter Surveillance Systems
- Boeing
- Broadcom (Blue Coat Systems)
- Chemimage Corporation
- Chemring Group
- Cisco Systems
- Collins Aerospace
- Darktrace
- Dell
- Drone Shield
- Elbit Systems
- Exabeam
- FireEye
- Flir Systems
- Forcepoint
- Fortinet
- General Electric (GE)
- Group IB
- Huawei Technologies
- IBM
- Intel
- Lockheed Martin Corporation
- McAfee
- Medtronic
- Microsoft Corporation
- Mirion Technologies
- Northrop Grumman
- Palo Alto Networks
- RAE Systems
- Rapid7
- Rapiscan Systems
- Raytheon Technologies
- Safran
- Smiths Detection Group
- Thales Group
- Trend Micro
- WatchGuard
Select Report Findings:
- The market for host-based intrusion detection and response systems will reach $3.1 globally by 2026
- The combined global market for TDDM in government office and public infrastructure will reach $9.3B by 2026
- Government initiatives across the world are increasing including TDDM practices as an extremely high-security priority
- Offering end-to-end solutions is the best strategy to achieve optimal success in the threat detection and mitigation solution market
- More advanced TDDM solutions look beyond human-led threat detection and mitigation to autonomous Machine-to-Machine solutions
- Advanced persistent threats have emerged in recent years as a systemic concern for many industry verticals as well as service providers and government sector
- Machine-led automation systems alone are NOT enough to specifically understand the motives behind attacks as there is also a need for cognitive computing enabled human intervention
Threat detection and damage mitigation (TDDM) refers to those processes, procedures, tools that provide the ability of an organization to accurately identify potential threats to networks, systems, applications and/or other assets with emphasis upon the ability to pre-emptively and proactively respond to security events and/or mitigate damage.
More advanced TDDM solutions look beyond human-led threat detection and mitigation to autonomous M2M solutions. Regardless of whether threats originate from human beings or autonomous computer programs, the new vision of TDDM is to create a human-machine threat detection framework in which network operators and systems administrators may choose their level of interaction and control.
Human-machine threat detection systems leverage various techniques such as video surveillance, cloud-controlled cyber-bots, and physical robots, artificial intelligence, biometric security systems, and IoT solutions. Various combinations of automation techniques and technologies are leveraged in orchestration with human-controlled threat detection solutions. Solutions will have varying levels of autonomy, including fully autonomous, remote-controlled (such as via handheld devices), and hybrid variants.
Recent concerns and threats stemming from the COVID-19 pandemic have added a new dimension of safety and security to protect human lives. The new expectation will have a longer-term impact on routine behavior and processes. It has now become very important across the world to control the spread of the COVID-19 virus and protect human lives.
In addition to physical threats associated with pandemics, bad actors also seize the opportunity to engage in various threats against cyber infrastructure. For example, we see aviation, transportation, and public safety industries relying upon human-machine TDDM solutions on an increasingly larger scale to restore human confidence over security systems as part of both industry and government initiatives.
Key Topics Covered:
1.0 Executive Summary
2.0 Introduction
3.0 Technology and Application Analysis
4.0 Company Analysis
5.0 Market Analysis and Forecast 2021 - 2026
6.0 Conclusions and Recommendations
For more information about this report visit https://www.researchandmarkets.com/r/8203cc
