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1360037

全球欺骗技术市场 - 2023-2030

Global Deception Technology Market - 2023-2030

出版日期: 2023年10月11日 | 出版商:

DataM Intelligence | 英文 201 Pages | 商品交期: 最快1-2个工作天内

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简介目录

概述：

全球欺骗技术市场在 2022 年达到 19 亿美元，预计到 2030 年将达到 57 亿美元，2023-2030 年预测期间复合年增长率为 12.1%。

欺骗技术提供了主动防御策略，有助于在威胁造成损害之前对其进行检测和回应。欺骗技术着重于早期威胁侦测和快速反应，这与不断发展的网路安全情势一致。传统的安全措施通常着重于预防，但欺骗技术透过主动识别网路内部已有的威胁来补充这些措施。

例如，2022 年1 月14 日，霍尼韦尔与Acalvio Technologies 合作推出了一种名为霍尼韦尔威胁防御平台(HTDP) 的新网路安全解决方案，该解决方案旨在检测营运技术中的已知和未知（零日）网路攻击商业建筑中的 (OT) 环境。

预计亚太地区在预测期内将以最快的速度发展，到2022 年将占全球欺骗技术市场的1/4 左右。近年来，亚太地区的网路安全威胁和攻击有所增加，其中包括先进的网络欺骗科技市场。持续的威胁、勒索软体攻击和资料外洩。该地区的政府和监管机构正在实施更严格的资料保护和网路安全规则和法规，组织也正在遵守这些法规，否则将面临严厉的处罚。

动态：

不断增加的政府倡议

为了保护敏感资料、关键基础设施和国家安全，世界各国政府都在扩大网路安全支出。政府对网路安全措施的资助和支持鼓励组织采用欺骗技术。政府经常引入网路安全法规和标准，要求组织实施先进的安全措施。

例如，2023 年 8 月 31 日，CERT-In 是负责解决网路安全威胁的国家机构。由于其改进，针对政府网路的网路攻击数量显着减少，这项由电子和资讯技术部 (MeitY) 发起的工作旨在根据“数位化”概念改善印度的网路安全生态系统。印度。”它是 MeitY 与国家电子化政府司 (NeGD) 之间的合作伙伴关係。

零时差攻击和针对性 APT 数量不断增加

随着时间的推移，零日漏洞不断增加，组织面临更大的网路攻击风险。欺骗技术透过在网路内创建欺骗层来提供帮助，使攻击者更难找到和利用这些漏洞。 APT 是高度复杂且通常由国家支持的针对特定组织或行业的攻击。欺骗技术旨在透过引诱攻击者进入欺骗性陷阱并将其与关键系统隔离来侦测和阻止此类高阶威胁。

2022 年4 月，Mandiant 威胁情报报告称，零日漏洞的利用数量出现令人担忧的增长，已识别出80 个在野外使用的此类漏洞，这标誌着2019 年观察到的先前记录数量的两倍多。尤其是中国参与者，仍然是零日漏洞背后的罪魁祸首。此外，出于经济动机的威胁行为者（包括勒索软体团体）显着增加了对零日漏洞的使用。

合作建立网路威胁实验室

网路威胁实验室促进网路安全领域的研究和创新。透过与学术机构合作，科技公司可以获得最新的研究成果和对新兴威胁的见解，这些实验室提供了一个受控环境，用于在现实场景中测试欺骗技术和其他网路安全解决方案，这使得开发和完善切割技术成为可能。边缘安全措施。

例如，2023 年 2 月 13 日，云端风险与威胁侦测领域的领导者 Rapid7 与南佛罗里达大学 (USF) 合作，在 USF 建立 Rapid7 网路威胁情报实验室，该计画的资金为 1.5 美元Rapid7 慈善部门投资了100 万美元，旨在支持网路威胁侦测领域的跨学科研究工作。此次合作将促进网路威胁情报和侦测相关的研究工作。来自南佛罗里达大学多个学科和学院的教师专家和学生将共同致力于网路安全领域的创新计画。

网路管理和相容性问题

欺骗技术可能会产生误报或误报，并且欺骗技术主要侧重于检测攻击者，一旦攻击者进入网络，就会在不存在威胁的情况下发出警报，从而导致浪费时间和资源来调查不存在的问题。管理欺骗性资产网络可能非常复杂且耗费资源。组织需要确保欺骗环境保持现实且最新。

欺骗解决方案需要额外的 IT 资源，包括硬体、软体和人员，才能有效部署和维护。将欺骗技术与现有安全系统和工作流程整合可能具有挑战性。可能会出现相容性问题，与其他安全工具的无缝协调至关重要。扩展欺骗解决方案以覆盖更大的网路可能很困难。拥有广泛基础设施的组织可能会发现在所有资产上保持一致的欺骗水平具有挑战性。

Deception technology offers a proactive defense strategy that helps detect and respond to threats before they cause damage. Deception technology focuses on early threat detection and rapid response, which aligns with the evolving cybersecurity landscape. Traditional security measures often focus on prevention, but deception technology complements these measures by actively identifying threats already inside the network.

For instance, on 14 January 2022, Honeywell, in collaboration with Acalvio Technologies, introduced a new cybersecurity solution called the Honeywell Threat Defense Platform (HTDP) and this solution is designed to detect both known and unknown (zero-day) cyberattacks within operational technology (OT) environments in commercial buildings.

Asia-Pacific is expected to develop at the fastest rate during the forecast period, making up around 1/4th of the global deception technology market in 2022. Asia-Pacific has seen a rise in cybersecurity threats and attacks in recent years and this includes advanced persistent threats, ransomware attacks and data breaches. Governments and regulatory bodies in the region are implementing stricter data protection and cybersecurity rules and regulation, also organizations are compiling with these regulations or face severe penalties.

Dynamics:

Rising Government Initiatives

In order to protect sensitive data, key infrastructure and national security, governments all over the world are expanding their spending on cybersecurity. Government funding and support for cybersecurity initiatives encourage the adoption of deception technology by organizations. Governments often introduce cybersecurity regulations and standards that mandate organizations to implement advanced security measures.

For instance, on 31 August 2023, CERT-In is the national agency responsible for addressing cybersecurity threats. The number of cyberattacks on government networks has significantly decreased as a result of its improvements and this effort, which was started by the Ministry of Electronics and Information Technology (MeitY), intends to improve India's cybersecurity ecosystem in line with the concept of a "digital India." It is a partnership between MeitY and the National Electronic Governance Division (NeGD).

Growing Number of Zero-day and Targeted APT's

As the number day passes the zero-day vulnerabilities rises and organizations face a greater risk of cyberattacks. Deception technology helps by creating a deceptive layer within the network, making it harder for attackers to locate and exploit these vulnerabilities. APTs are highly sophisticated and often state-sponsored attacks that target specific organizations or industries. Deception technology is designed to detect and thwart such advanced threats by luring attackers into deceptive traps and isolating them from critical systems.

In April 2022, Mandiant Threat Intelligence reported a concerning increase in the exploitation of zero-day vulnerabilities, with the identification of 80 such exploits used in the wild and this marks more than double the previous record volume observed in 2019. State-sponsored groups, notably Chinese actors, remained the primary culprits behind zero-day exploits. Additionally, financially motivated threat actors, including ransomware groups, significantly increased their use of zero-day vulnerabilities.

Partnership for Establishing Cyber Threat Labs

Cyber threat labs foster research and innovation in the field of cybersecurity. By collaborating with academic institutions, technology companies can access the latest research findings and insights into emerging threats and these labs provide a controlled environment for testing deception technology and other cybersecurity solutions in real-world scenarios, this allows for the development and refinement of cutting-edge security measures.

For instance, on 13 February 2023, Rapid7, a leader in cloud risk and threat detection, is partnering with the University of South Florida (USF) to establish the Rapid7 Cyber Threat Intelligence Lab at USF and this initiative, funded by a US$ 1.5 Million investment from Rapid7's charitable arm, aims to support interdisciplinary research efforts in the field of cyber threat detection. The collaboration will foster research efforts related to cyber threat intelligence and detection. Faculty experts and students from multiple disciplines and colleges at USF will work together on innovative projects in the cybersecurity domain.

Network Management and Compatibility Issue

Deception technology can generate false alarms or false positives and deception technology primarily focuses on detecting attackers once they are inside the networks are alerts that indicate a threat when there is none, leading to wasted time and resources investigating non-existent issues. Managing a network of deceptive assets can be complex and resource-intensive. Organizations need to ensure that the deception environment remains realistic and up to date.

Deception solutions require additional IT resources, including hardware, software and personnel, to deploy and maintain effectively. Integrating deception technology with existing security systems and workflows can be challenging. Compatibility issues may arise and seamless coordination with other security tools is essential. Scaling deception solutions to cover larger networks can be difficult. Organizations with extensive infrastructure may find it challenging to maintain a consistent level of deception across all assets.

Segment Analysis:

The global deception technology market is segmented based on deployment organization size, service, deception stack, end-user and region.

Cloud Platform Enhance the Growth of the Market

In 2022, cloud deployment is expected to be the dominant segment in the global deception technology market covering around 1/3rd of the market. Organizations are rapidly migrating their workloads to cloud environments, making cloud platforms a lucrative target for cyberattacks. Deception technology provides an additional layer of security to detect and respond to threats within the cloud infrastructure. Deception technology can effectively detect these elusive threats by luring attackers into decoy environments and capturing their activities.

For instance, on 22 November 2022, Acalvio Technologies made its ShadowPlex platform available on AWS Marketplace and this platform offers autonomous deception technology for advanced cybersecurity and is designed to be easily deployed across on-premises, cloud and remote user environments. It provides comprehensive deception capabilities for both IT and operational technology (OT) environments, helping reduce the dwell time of attackers by swiftly and accurately detecting malicious activities.

Geographical Penetration:

Growing Regulatory Frameworks in North America

North America is the dominant region in the global deception technology market covering more than 1/3rd of the market. The region faces a significant and ever-evolving cybersecurity threat landscape. Technology that uses deception provides a powerful method for proactively identifying and countering these threats. At the federal, state and industry levels organizations are subject to a variety of data protection and cybersecurity requirements. Implementing deception technology can assist in achieving compliance with these regulatory requirements, as it enhances overall security.

For instance, on 18 May 2023, The Federal Trade Commission issued a Policy Statement on Biometric Information and Section 5 of the Federal Trade Commission Act and this statement reflects the FTC's intention to hold companies accountable for their collection and utilization of consumers' biometric information. One notable aspect of the Policy Statement is its broad definition of biometric information, which goes beyond definitions found in existing U.S. laws and regulations, including the California Consumer Privacy Act (CCPA) and the Washington State My Data Act.

Competitive Landscape

The major global players in the market include Illusive Networks Ltd., Attivo Networks Inc., Rapid7, Inc., Ridgeback Network Defense Inc., Acalvio Technologies Inc., Akamai Technologies Inc., CounterCraft SL, CyberTrap Software GmbH, NTT Security Limited and Broadcom Inc. .

COVID-19 Impact Analysis

The pandemic led to a surge in cyberattacks and threats. Threat actors took advantage of the chaos and transition to remote work to launch various cyberattacks, including phishing, ransomware and supply chain attacks and this increased threat landscape highlighted the need for advanced cybersecurity solutions, including deception technology. Organizations became more aware of the importance of robust cybersecurity measures as they faced an influx of cyber threats during the pandemic.

Remote work becoming the norm and organizations are focused on securing remote access and endpoints. Deception technology plays a crucial role in protecting remote workers and endpoints by detecting unauthorized access and lateral movement within networks. Insider threats became a significant concern during the pandemic, as remote employees had access to sensitive data and systems. Deception technology can help identify insider threats by monitoring user behavior and detecting unusual or unauthorized activities.

The shift to cloud-based services and infrastructure accelerated during the pandemic. Deception technology extended its capabilities to protect cloud environments, detecting and responding to threats within cloud-based applications and resources. The Zero Trust security model gained traction as organizations sought to verify every user and device accessing their networks, especially in remote work scenarios. Deception technology aligns with the principles of Zero Trust by continuously monitoring and verifying user and device behavior.

AI Impact

AI-powered deception technology can analyze vast amounts of data and network traffic to identify anomalies and potential threats more effectively than traditional methods. Machine learning models can continuously learn and adapt to new attack patterns, making them more adept at detecting sophisticated threats.AI enables deception technology to perform behavioral analysis on network traffic and user activity.

AI-driven deception systems can respond to threats in real-time by autonomously taking actions to isolate, contain or divert attackers and this reduces response time and minimizes the impact of cyberattacks. AI can create highly customized deception scenarios that mimic an organization's specific network environment and assets, this level of customization makes it more challenging for attackers to distinguish between real and deceptive assets.

For instance, on 11 September 2023, Lockheed Martin and the University of Iowa's Operator Performance Laboratory (OPL) successfully demonstrated the use of artificial intelligence (AI) in coordinating manned and unmanned aircraft during an electronic attack mission. The project, known as Enhanced Collaborative High-Frequency Orientation System (ECOS), utilized two pilot-flown L-29 aircraft acting as surrogates for unmanned systems.

Russia- Ukraine War Impact

Geopolitical conflicts often lead to an uptick in cyberattacks and cyber espionage activities. State-sponsored threat actors may exploit the situation to target organizations, critical infrastructure and government entities. Deception technology could play a critical role in detecting and mitigating these threats by luring attackers into deceptive environments and providing early warning. The conflict may result in more targeted attacks on organizations and industries related to defense, energy, finance and critical infrastructure.

The disruption of supply chains due to the conflict can introduce cybersecurity risks. Organizations may need to assess and secure their supply chain partners. Deception technology can assist in identifying and isolating potential threats originating from the supply chain. As geopolitical tensions rise organizations may increase remote work arrangements to protect their employees and operations. Ensuring the security of remote work environments becomes paramount. Deception technology can help monitor remote access points and detect any unauthorized activities.

By Deployment

Cloud
On-Premise

By Organization Size

Small and Medium Enterprises
Large Enterprises

By Service

Managed Services
Professional Services

By Deception Stack

Data Security
Application Security
Endpoint Security
Network Security

By End-User

Government
Medical
BFSI
Defense
IT
Others

By Region

North America
- U.S.
- Canada
- Mexico

Europe
- Germany
- UK
- France
- Italy
- Russia
- Rest of Europe

South America
- Brazil
- Argentina
- Rest of South America

Asia-Pacific
- China
- India
- Japan
- Australia
- Rest of Asia-Pacific

Middle East and Africa

Key Developments

In July 2022, Booz Allen Hamilton and Acalvio Technologies are collaborating to offer cyber deception technologies to both commercial and government organizations. Acalvio's ShadowPlex cyber deception product will complement Booz Allen's existing cybersecurity services, allowing organizations to detect, investigate and respond to cyber threats in IT and OT environments across on-premises and cloud deployments..
In September 2022, Commvault announced the general availability of Metallic ThreatWise, an early warning system designed to proactively identify unknown and zero-day threats, thereby reducing the risk of compromised data and minimizing business impact and this offering enhances Commvault's data management capabilities across on-premises, cloud and SaaS environments.
In March 2023, Akamai Technologies announced its acquisition of Ondat, a cloud-based storage technology provider with a Kubernetes-native platform for running stateful applications across various cloud environments. Ondat's technology offers persistent storage directly onto Kubernetes clusters, facilitating the secure operation of critical stateful applications across public, private and hybrid clouds.

Why Purchase the Report?

To visualize the global deception technology market segmentation based on deployment organization size, service, deception stack, end-user and region, as well as understand key commercial assets and players.
Identify commercial opportunities by analyzing trends and co-development.
Excel data sheet with numerous data points of deception technology market-level with all segments.
PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
Product mapping available as excel consisting of key products of all the major players.

The global deception technology market report would provide approximately 77 tables, 78 figures and 201 pages.

Target Audience 2023

Manufacturers/ Buyers
Industry Investors/Investment Bankers
Research Professionals
Emerging Companies

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

3.1. Snippet by Deployment
3.2. Snippet by Organization Size
3.3. Snippet by Service
3.4. Snippet by Deception Stack
3.5. Snippet by End-User
3.6. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Rising Government Initiatives
  - 4.1.1.2. Growing Number of Zero-day and Targeted APT's
  - 4.1.1.3. Partnership for Establishing Cyber Threat Labs
- 4.1.2. Restraints
  - 4.1.2.1. Network Management and Compatibility Issue
- 4.1.3. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis
5.5. Russia-Ukraine War Impact Analysis
5.6. DMI Opinion

6. COVID-19 Analysis

6.1. Analysis of COVID-19
- 6.1.1. Scenario Before COVID
- 6.1.2. Scenario During COVID
- 6.1.3. Scenario Post COVID
6.2. Pricing Dynamics Amid COVID-19
6.3. Demand-Supply Spectrum
6.4. Government Initiatives Related to the Market During Pandemic
6.5. Manufacturers Strategic Initiatives
6.6. Conclusion

7. By Deployment

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 7.1.2. Market Attractiveness Index, By Deployment
7.2. Cloud*
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. On-Premise

8. By Organization Size

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 8.1.2. Market Attractiveness Index, By Organization Size
8.2. Small and Medium Enterprises*
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Large Enterprises

9. By Service

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Service
- 9.1.2. Market Attractiveness Index, By Service
9.2. Managed Services*
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. Professional Services

10. By Deception Stack

10.1. Introduction
- 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deception Stack
- 10.1.2. Market Attractiveness Index, By Deception Stack
10.2. Data Security*
- 10.2.1. Introduction
- 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
10.3. Application Security
10.4. Endpoint Security
10.5. Network Security

11. By End-User

11.1. Introduction
- 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.1.2. Market Attractiveness Index, By End-User
11.2. Government*
- 11.2.1. Introduction
- 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
11.3. Medical
11.4. BFSI
11.5. Defense
11.6. IT
11.7. Others

12. By Region

12.1. Introduction
- 12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 12.1.2. Market Attractiveness Index, By Region
12.2. North America
- 12.2.1. Introduction
- 12.2.2. Key Region-Specific Dynamics
- 12.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 12.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Service
- 12.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deception Stack
- 12.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.2.8.1. U.S.
  - 12.2.8.2. Canada
  - 12.2.8.3. Mexico
12.3. Europe
- 12.3.1. Introduction
- 12.3.2. Key Region-Specific Dynamics
- 12.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 12.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Service
- 12.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deception Stack
- 12.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.3.8.1. Germany
  - 12.3.8.2. UK
  - 12.3.8.3. France
  - 12.3.8.4. Italy
  - 12.3.8.5. Russia
  - 12.3.8.6. Rest of Europe
12.4. South America
- 12.4.1. Introduction
- 12.4.2. Key Region-Specific Dynamics
- 12.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 12.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Service
- 12.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deception Stack
- 12.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.4.8.1. Brazil
  - 12.4.8.2. Argentina
  - 12.4.8.3. Rest of South America
12.5. Asia-Pacific
- 12.5.1. Introduction
- 12.5.2. Key Region-Specific Dynamics
- 12.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 12.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Service
- 12.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deception Stack
- 12.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.5.8.1. China
  - 12.5.8.2. India
  - 12.5.8.3. Japan
  - 12.5.8.4. Australia
  - 12.5.8.5. Rest of Asia-Pacific
12.6. Middle East and Africa
- 12.6.1. Introduction
- 12.6.2. Key Region-Specific Dynamics
- 12.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 12.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Service
- 12.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deception Stack
- 12.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

13. Competitive Landscape

13.1. Competitive Scenario
13.2. Market Positioning/Share Analysis
13.3. Mergers and Acquisitions Analysis

14. Company Profiles

14.1. Illusive Networks Ltd.*
- 14.1.1. Company Overview
- 14.1.2. Product Portfolio and Description
- 14.1.3. Financial Overview
- 14.1.4. Key Developments
14.2. Attivo Networks Inc.
14.3. Rapid7, Inc.
14.4. Ridgeback Network Defense Inc.
14.5. Acalvio Technologies Inc.
14.6. Akamai Technologies Inc.
14.7. CounterCraft SL
14.8. CyberTrap Software GmbH
14.9. NTT Security Limited
14.10. Broadcom Inc.

LIST NOT EXHAUSTIVE

15. Appendix

15.1. About Us and Services
15.2. Contact Us

02-2729-4219

+886-2-2729-4219

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