首頁 > 市場調查報告書 > 通訊

IT安全性

市場調查報告書

商品編碼

1360037

全球欺騙技術市場 - 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: 約2個工作天內

價格

※ 本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

簡介目錄

概述：

全球欺騙技術市場在 2022 年達到 19 億美元，預計到 2030 年將達到 57 億美元，2023-2030 年預測期間複合年成長率為 12.1%。

欺騙技術提供了主動防禦策略，有助於在威脅造成損害之前對其進行檢測和回應。欺騙技術著重於早期威脅偵測和快速反應，這與不斷發展的網路安全情勢一致。傳統的安全措施通常著重於預防，但欺騙技術透過主動識別網路內部已有的威脅來補充這些措施。

例如，2022 年1 月14 日，霍尼韋爾與Acalvio Technologies 合作推出了一種名為霍尼韋爾威脅防禦平台(HTDP) 的新網路安全解決方案，該解決方案旨在檢測營運技術中的已知和未知（零日）網路攻擊商業建築中的 (OT) 環境。

預計亞太地區在預測期內將以最快的速度發展，到2022 年將佔全球欺騙技術市場的1/4 左右。近年來，亞太地區的網路安全威脅和攻擊有所增加，其中包括先進的網路欺騙科技市場。持續的威脅、勒索軟體攻擊和資料外洩。該地區的政府和監管機構正在實施更嚴格的資料保護和網路安全規則和法規，組織也正在遵守這些法規，否則將面臨嚴厲的處罰。

動態：

不斷增加的政府舉措

為了保護敏感資料、關鍵基礎設施和國家安全，世界各國政府都在擴大網路安全支出。政府對網路安全措施的資助和支持鼓勵組織採用欺騙技術。政府經常引入網路安全法規和標準，要求組織實施先進的安全措施。

例如，2023 年 8 月 31 日，CERT-In 是負責解決網路安全威脅的國家機構。由於其改進，針對政府網路的網路攻擊數量顯著減少，這項由電子和資訊技術部 (MeitY) 發起的工作旨在根據“數位化”概念改善印度的網路安全生態系統。印度。”它是 MeitY 與國家電子化政府司 (NeGD) 之間的合作夥伴關係。

零時差攻擊和針對性 APT 數量不斷增加

隨著時間的推移，零日漏洞不斷增加，組織面臨更大的網路攻擊風險。欺騙技術透過在網路內創建欺騙層來提供幫助，使攻擊者更難找到和利用這些漏洞。 APT 是高度複雜且通常由國家支持的針對特定組織或行業的攻擊。欺騙技術旨在透過引誘攻擊者進入欺騙性陷阱並將其與關鍵系統隔離來偵測和阻止此類高階威脅。

2022 年4 月，Mandiant 威脅情報報告稱，零日漏洞的利用數量出現令人擔憂的成長，已識別出80 個在野外使用的此類漏洞，這標誌著2019 年觀察到的先前記錄數量的兩倍多。尤其是中國參與者，仍然是零日漏洞背後的罪魁禍首。此外，出於經濟動機的威脅行為者（包括勒索軟體團體）顯著增加了對零日漏洞的使用。

合作建立網路威脅實驗室

網路威脅實驗室促進網路安全領域的研究和創新。透過與學術機構合作，科技公司可以獲得最新的研究成果和對新興威脅的見解，這些實驗室提供了一個受控環境，用於在現實場景中測試欺騙技術和其他網路安全解決方案，這使得開發和完善切割技術成為可能。邊緣安全措施。

例如，2023 年 2 月 13 日，雲端風險與威脅偵測領域的領導者 Rapid7 與南佛羅裡達大學 (USF) 合作，在 USF 建立 Rapid7 網路威脅情報實驗室，該計畫的資金為 1.5 美元Rapid7 慈善部門投資了100 萬美元，旨在支持網路威脅偵測領域的跨學科研究工作。此次合作將促進網路威脅情報和偵測相關的研究工作。來自南佛羅裡達大學多個學科和學院的教師專家和學生將共同致力於網路安全領域的創新計畫。

網路管理和相容性問題

欺騙技術可能會產生誤報或誤報，並且欺騙技術主要側重於檢測攻擊者，一旦攻擊者進入網路，就會在不存在威脅的情況下發出警報，從而導致浪費時間和資源來調查不存在的問題。管理欺騙性資產網路可能非常複雜且耗費資源。組織需要確保欺騙環境保持現實且最新。

欺騙解決方案需要額外的 IT 資源，包括硬體、軟體和人員，才能有效部署和維護。將欺騙技術與現有安全系統和工作流程整合可能具有挑戰性。可能會出現相容性問題，與其他安全工具的無縫協調至關重要。擴展欺騙解決方案以覆蓋更大的網路可能很困難。擁有廣泛基礎設施的組織可能會發現在所有資產上保持一致的欺騙水平具有挑戰性。

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