Human and Machine Trust/Threat Detection and Damage Mitigation Market Outlook and Forecasts 2020 – 2027

Human and Machine Trust/Threat Detection and Damage Mitigation Market Outlook and Forecasts 2020 – 2027

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 operators 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 of routine behavior and processes. It has now become very important across the world to control the spread of 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, Mind Commerce sees 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.

Based on our analysis, Mind Commerce sees certain vendors as key to the ecosystem including Check Point, Cisco, Fidelis, FireEye, Fortinet, McAfee, Palo Alto Networks, Symantec, Trend Micro, etc. offer integrated architecture for threat detection and mitigation solutions on all of the options. Companies like IBM QRadar, Splunk, Chronicle Security Backstory, Microsoft Azure Sentinel, etc. provide security analytics solutions.
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 2020 to 2027.

Target Audience:
• AI solution providers
• ICT infrastructure providers
• IoT managed services companies
• Communications service providers
• Digital media and content companies
• Security product and services companies

Select Report Findings:
• The global human-machine treat detection and response market will reach $277.7B USD by 2027
• The largest regional markets will be Asia Pac, Europe, and North America at $38.2B, $36.9B, and $31.8B respectively
• Government initiatives across the world are increasingly 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

Companies in Report:
• 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)
• Google
• 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


1.0 Executive Summary
1.1 Overview
1.2 Research Objective
1.3 Select Findings
2.0 Introduction
2.1 Human-Machine Threat Detection and Mitigation
2.1.1 Human to Machine Interaction Framework
2.1.2 Machine to Machine Interaction Framework
2.2 Threat Detection in Zero Trust Environment
2.2.1 Types of Threat and Trust Environment Goals
2.2.1.1 Cyber Environments
2.2.1.2 Physical Environments
2.2.2 Threat Motives and Traceability
2.3 Threat Hunting and Response
2.3.1 Consolidation of Threat Identification and Mitigation Tools
2.4 Humans as Security Sensors
2.4.1 Integrated Human as a Security Sensor (IHaaSS)
2.5 Insider Threat Detection
2.6 Autonomous System as Actor
2.7 Real Time Sensing and Trust
2.8 Designing Threat Detection Programs
2.9 Human Machine Decision Support Systems
2.10 Regulatory Analysis
2.10.1 General Data Protection Regulation
2.10.2 Payment Card Industry Data Security Standard
2.10.3 Health Insurance Portability and Accountability Act (HIPAA)
2.10.4 Federal Information Security Management Act
2.10.5 Sarbanes-Oxley Act
2.10.6 Gramm-Leach-Bliley Act
2.10.7 International Organization for Standardization 27001
2.11 COVID 19 Impact and Business Issues
2.12 Market Drivers and Challenges
2.13 Value Chain Analysis
2.13.1 Stakeholder Role and Benefit Analysis
2.13.1.1 Hardware and Equipment Providers
2.13.1.2 Software Solution Providers
2.13.1.3 Integrated Platform Solution Providers
2.13.2 Manufacturing Process Analysis
2.13.3 Manufacturing Cost Structure Analysis
2.13.4 Business Model Analysis
2.13.5 Downstream Customer Group Analysis
3.0 Technology and Application Analysis
3.1 Human to Machine Interaction Technology and products
3.1.1 Device Based Intrusion Detection System
3.1.1.1 Memory Scanning System
3.1.1.2 Network Intrusion Detection System
3.1.1.3 Host-based Intrusion Detection System
3.1.1.4 Perimeter Intrusion Detection System
3.1.2 Screening and Management Platform
3.1.2.1 People and Component Screening
3.1.2.2 Baggage Screening
3.1.3 Security and Surveillance Robots
3.1.4 Disinfection and Disease Protection System
3.1.4.1 Ultraviolet Light-Based Disinfection System
3.1.4.2 Disinfection Chamber /Sanitizing Tunnels
3.1.4.3 Tray Disinfection System
3.1.4.4 Airborne Disease Protection System
3.1.5 Handheld and Photosensitive Detection Device
3.2 Human to Machine Interaction Application Analysis
3.2.1 Explosive Detection
3.2.2 Radiological and Nuclear Detection
3.2.3 Chemical and Biological Detection
3.2.4 Narcotics Detection
3.2.5 Network Intrusion Detection
3.2.6 Disease Control and Management
3.2.7 People and Component Detection
3.2.8 Fire detection
3.3 Machine to Machine Interaction Technology and Products
3.3.1 Cloud Access and Security Brokers (CASB)
3.3.2 Endpoint Detection and Response Systems
3.3.3 Intrusion Detection Systems
3.3.4 Network Firewalls
3.3.5 Malware Sandboxing
3.3.6 Honeypots
3.3.7 Security Information and Event Management System
3.3.8 Threat Intelligence Platforms
3.3.9 Use and Entity Behaviour Analytics
3.4 Machine to Machine Interaction Application Analysis
3.4.1 Unauthorized Identity and Access Detection
3.4.2 Suspicious Behaviour Detection
3.4.3 Malicious Activity Detection
3.4.4 Enterprise Threat Detection
3.4.5 Connected Threat and Attacks Detection
3.4.6 Known Threat Intelligence Feeds
3.4.7 Malware Code Detection
3.4.8 RansomWare Detection
3.5 Human-Machine Threat Detection Use Case Analysis
3.5.1 Public Infrastructure Deployment
3.5.2 Commercial Space Deployment
3.5.3 Institutional Deployment
3.5.4 Industrial Deployment
3.6 Human-Machine Threat Detection across Industry Vertical
3.6.1 Consumer Sector
3.6.2 Enterprise Sector
3.6.3 Industrial Sector
3.6.4 Government Sector
3.7 Infrastructure and People Monitoring
3.8 Advanced Threat Monitoring and Response
3.9 Cloud vs. On-Premise Deployment
3.10 AI and Machine Learning Role
3.11 Ethical AI
3.12 Threat Visualization and Analytics
3.13 Threats to IoT, Edge Computing, and 5G
4.0 Company Analysis
4.1 3D Robotics
4.2 Airbus
4.3 Alert Logic
4.4 Analogic Corporation
4.5 Armor Defense
4.6 AT&T Cybersecurity
4.7 Axis Communication AB
4.8 Barracuda Networks
4.9 Blighter Surveillance Systems
4.10 Broadcom (Blue Coat Systems)
4.11 Boeing
4.12 Chemimage Corporation
4.13 Chemring Group
4.14 Cisco Systems
4.15 Darktrace
4.16 Dell
4.17 Drone Shield
4.18 Elbit Systems
4.19 Exabeam
4.20 FireEye
4.21 Flir Systems
4.22 Forcepoint
4.23 Fortinet
4.24 Group-IB
4.25 General Electric (GE)
4.26 Google
4.27 Huawei Technologies
4.28 IBM
4.29 Intel
4.30 Lockheed Martin Corporation
4.31 McAfee
4.32 Mirion Technologies
4.33 Medtronic
4.34 Microsoft Corporation
4.35 Northrop Grumman
4.36 Palo Alto Networks
4.37 RAE Systems (Honeywell)
4.38 Rapid7
4.39 Rapiscan Systems
4.40 Raytheon Technologies
4.41 Safran
4.42 Smiths Detection Group
4.43 Thales Group
4.44 Trend Micro
4.45 Collins Aerospace
4.46 WatchGuard
5.0 Market Analysis and Forecast 2020 – 2027
5.1 Global Human Machine Threat Detection Market 2020 – 2027
5.2 Global Human Machine Threat Detection Market by Segment 2020 – 2027
5.3 Human to Machine Interaction Market 2020 – 2027
5.3.1 Global Human to Machine Interaction Market for Threat Detection by Technology
5.3.2 Global Human to Machine Interaction Market for Threat Detection by Solution
5.3.2.1 Global Intrusion Detection Device Market by Product and System
5.3.2.2 Global Screening and Management Machine Market by Product and System
5.3.2.3 Global Security and Surveillance Robots Market by Product and System
5.3.2.4 Global Disinfection and Disease Protection System Market by Product and System
5.3.2.5 Global Handheld and Photosensitive Detection Device Market by Product and System
5.3.2.6 Global Human to Machine Interaction Market for Threat Detection by Service
5.3.3 Global Human to Machine Interaction Market for Threat Detection by Deployment Model
5.3.4 Global Human to Machine Interaction Market for Threat Detection by Use Case
5.3.5 Global Human to Machine Interaction Market for Threat Detection by Application
5.3.6 Global Human to Machine Interaction Market for Threat Detection by Sector
5.3.7 Global Human to Machine Interaction Market for Threat Detection by Industry Vertical
5.3.8 Global Human to Machine Interaction Market for Threat Detection by Region
5.3.8.1 North America Human to Machine Interaction Market for Threat Detection by Country
5.3.8.2 Europe Human to Machine Interaction Market for Threat Detection by Country
5.3.8.3 APAC Human to Machine Interaction Market for Threat Detection by Country
5.3.8.3.1 SEA Human to Machine Interaction Market for Threat Detection by Country
5.3.8.4 Latin America Human to Machine Interaction Market for Threat Detection by Country
5.3.8.5 MEA Human to Machine Interaction Market for Threat Detection by Country
5.4 Machine to Machine Interaction Market 2020 – 2027
5.4.1 Global Machine to Machine Interaction Market for Threat Detection by Technology
5.4.2 Global Machine to Machine Interaction Market for Threat Detection by Solution
5.4.2.1 Global Machine to Machine Interaction Market for Threat Detection by Product and System
5.4.2.2 Global Machine to Machine Interaction Market for Threat Detection by Service
5.4.3 Global Machine to Machine Interaction Market for Threat Detection by Deployment Model
5.4.4 Global Machine to Machine Interaction Market for Threat Detection by Use Case
5.4.5 Global Machine to Machine Interaction Market for Threat Detection by Application
5.4.6 Global Machine to Machine Interaction Market for Threat Detection by Sector
5.4.7 Global Machine to Machine Interaction Market for Threat Detection by Industry Vertical
5.4.8 Global Machine to Machine Interaction Market for Threat Detection by Region
5.4.8.1 North America Machine to Machine Interaction Market for Threat Detection by Country
5.4.8.2 Europe Machine to Machine Interaction Market for Threat Detection by Country
5.4.8.3 APAC Machine to Machine Interaction Market for Threat Detection by Country
5.4.8.3.1 SEA Machine to Machine Interaction Market for Threat Detection by Country
5.4.8.4 Latin America Machine to Machine Interaction Market for Threat Detection by Country
5.4.8.5 MEA Machine to Machine Interaction Market for Threat Detection by Country
6.0 Conclusions and Recommendations
6.1 Advertisers and Media Companies
6.2 Artificial Intelligence Providers
6.3 Automotive Companies
6.4 Broadband Infrastructure Providers
6.5 Communication Service Providers
6.6 Computing Companies
6.7 Data Analytics Providers
6.8 Immersive Technology (AR, VR, and MR) Providers
6.9 Networking Equipment Providers
6.10 Networking Security Providers
6.11 Semiconductor Companies
6.12 IoT Suppliers and Service Providers
6.13 Software Providers
6.14 Healthcare Service Providers
6.15 Unmanned System Providers
6.16 Public Safety Solution Providers
6.17 Smart City System Integrators
6.18 Social Media Companies
6.19 Workplace Solution Providers
6.20 Enterprise and Government
Figures
Figure 1: Human-Machine Threat Detection Framework
Figure 2: Human as a Security Sensor Framework
Figure 3: IHaaSS Incident Model
Figure 4: Insider Threat Detection Framework
Figure 5: Intrusion Detection System Device
Figure 6: Accelerated memory Scanning System
Figure 7: Remote People Screening System
Figure 8: Baggage Screening System
Figure 9: Sneeze Guard System
Figure 10: Enterprise Preference on M2M Threat Detection Technology
Figure 11: Global Human Machine Threat Detection Market 2020 – 2027
Tables
Table 1: Threat Loss Cost Categories
Table 2: Manufacturing Cost Framework
Table 3: Global Human Machine Threat Detection Market by Segment 2020 – 2027
Table 4: Global Human to Machine Interaction Market for Threat Detection by Technology 2020 – 2027
Table 5: Global Human to Machine Interaction Market for Threat Detection by Solution 2020 – 2027
Table 6: Global Intrusion Detection Device Market by Product and System 2020 – 2027
Table 7: Global Screening and Management Machine Market by Product and System 2020 – 2027
Table 8: Global Security and Surveillance Robots Market by Product and System 2020 – 2027
Table 9: Global Disinfection and Disease Protection System Market by Product and System 2020 – 2027
Table 10: Global Handheld and Photosensitive Detection Device Market by Product and System 2020 – 2027
Table 11: Global Human to Machine Interaction Market for Threat Detection by Service 2020 – 2027
Table 12: Global Human to Machine Interaction Market for Threat Detection by Deployment Model 2020 – 2027
Table 13: Global Human to Machine Interaction Market for Threat Detection by Use Case 2020 – 2027
Table 14: Global Human to Machine Interaction Market for Threat Detection by Application 2020 – 2027
Table 15: Global Human to Machine Interaction Market for Threat Detection by Sector 2020 – 2027
Table 16: Global Human to Machine Interaction Market for Threat Detection by Industry Vertical 2020 – 2027
Table 17: Global Human to Machine Interaction Market for Threat Detection by Region 2020 – 2027
Table 18: North America Human to Machine Interaction Market for Threat Detection by Country 2020 – 2027
Table 19: Europe Human to Machine Interaction Market for Threat Detection by Country 2020 – 2027
Table 20: APAC Human to Machine Interaction Market for Threat Detection by Country 2020 – 2027
Table 21: SEA Human to Machine Interaction Market for Threat Detection by Country 2020 – 2027
Table 22: Latin America Human to Machine Interaction Market for Threat Detection by Country 2020 – 2027
Table 23: MEA Human to Machine Interaction Market for Threat Detection by Country 2020 – 2027
Table 24: Global Machine to Machine Interaction Market for Threat Detection by Technology 2020 – 2027
Table 25: Global Machine to Machine Interaction Market for Threat Detection by Solution 2020 – 2027
Table 26: Global Machine to Machine Interaction Market for Threat Detection by Product and System 2020 – 2027
Table 27: Global Machine to Machine Interaction Market for Threat Detection by Service 2020 – 2027
Table 28: Global Machine to Machine Interaction Market for Threat Detection by Deployment Model 2020 – 2027
Table 29: Global Machine to Machine Interaction Market for Threat Detection by Use Case 2020 – 2027
Table 30: Global Machine to Machine Interaction Market for Threat Detection by Application 2020 – 2027
Table 31: Global Machine to Machine Interaction Market for Threat Detection by Sector 2020 – 2027
Table 32: Global Machine to Machine Interaction Market for Threat Detection by Industry Vertical 2020 – 2027
Table 33: Global Machine to Machine Interaction Market for Threat Detection by Region 2020 – 2027
Table 34: North America Machine to Machine Interaction Market for Threat Detection by Country 2020 – 2027
Table 35: Europe Machine to Machine Interaction Market for Threat Detection by Country 2020 – 2027
Table 36: APAC Machine to Machine Interaction Market for Threat Detection by Country 2020 – 2027
Table 37: SEA Machine to Machine Interaction Market for Threat Detection by Country 2020 – 2027
Table 38: Latin America Machine to Machine Interaction Market for Threat Detection by Country 2020 – 2027
Table 39: MEA Machine to Machine Interaction Market for Threat Detection by Country 2020 – 2027

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