PUBLISHER: DataM Intelligence | PRODUCT CODE: 1360037
PUBLISHER: DataM Intelligence | PRODUCT CODE: 1360037
Global Deception Technology Market reached US$ 1.9 billion in 2022 and is expected to reach US$ 5.7 billion by 2030, growing with a CAGR of 12.1% during the forecast period 2023-2030.
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.
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).
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.
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.
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.
The global deception technology market is segmented based on deployment organization size, service, deception stack, end-user and region.
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.
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.
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. .
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-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.
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.
The global deception technology market report would provide approximately 77 tables, 78 figures and 201 pages.
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