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Artificial Intelligence

Artificial Intelligence (AI) In Cybersecurity Market Size USD 102.78 BN by 2032

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Ottawa, Jan. 23, 2023 (GLOBE NEWSWIRE) — According to Precedence Research, the artificial intelligence (AI) in cybersecurity market size was valued at USD 17.4 billion in 2022. Artificial intelligence in cybersecurity is essentially the use of AI technology to streamline complicated cybersecurity procedures in order to increase the system’s dependability, security, and independence. The rise of disruptive digital technologies in a variety of industry sectors, rising demand for advanced cybersecurity products and privacy, an increase in the frequency and complexity of cyberthreats, and steady technological advancements are the main factors propelling the artificial intelligence market in cybersecurity.

Key Takeaways:

  • North America market has accounted revenue share of 38% in 2022.
  • By offering, the services segment has accounted revenue share of 36% in 2022.
  • By technology, the machine learning segment has accounted revenue share of 47% in 2022. 
  • By vertical, the enterprise segment has accounted revenue share of 24% in 2022. 
  • By application, the fraud detection and anti-fraud segment has accounted revenue share of over 22% in 2022.

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Market Growth

Artificial intelligence (AI) in the cybersecurity market is driven by the increase in cybercrimes. The risk of cyber assaults has increased as IoT adoption and the number of connected devices has increased globally. If not addressed promptly, the majority of common cybercrimes, such as identity theft and credit card theft, filed by big businesses can result in significant financial losses. The adoption of cutting-edge security AI solutions is thus anticipated to fuel market expansion. In addition to offering greater security than human capabilities, AI security solutions also speed up the entire acknowledgment and identification process for cyberfrauds. Therefore, the usage of AI technology in the cyber security market is further anticipated to increase as cyber security risk occurrences rise.

Regional Analysis

In 2022, the revenue share was dominated by North America. The growth of IoT, 5G, and Wi-Fi 6 is largely responsible for the trend’s increase in network-connected devices. A potential access point for hackers is the 5G network expansion driven by businesses in the automotive, healthcare, government, energy, and mining industries. As a result of strict government regulations and an increase in cyberattacks on the government, healthcare, automotive, and IT & telecommunication industries, Europe is set to offer attractive growth prospects. In the midst of measures to counter cyber-attacks from Russia and other belligerent states, the administration is nevertheless confident that increased defense spending would strengthen its position in Europe.

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Scope of the Report

Report Attributes Details
Market Size in 2022 USD 17.4 Billion
Revenue Forecast by 2032 USD 102.78 Billion
CAGR 19.43% from 2023 to 2032
North America Revenue Share 38% in 2022
Enterprise Category Segment Revenue Share 24% in 2022
Machine Learning Segment Revenue Share 47% in 2022
Base Year 2022
Forecast Year 2023 to 2032
Key Players NVIDIA Corporation, Intel Corporation, Xilinx Inc., Samsung Electronics Co Ltd, Micron Technology Inc., Amazon Web Services, Inc., IBM Corporation, Microsoft Corporation, FireEye, Inc., Palo Alto Networks, Inc., Juniper Networks, Inc., Fortinet, Inc., Cisco Systems, Inc., Check Point Software Technologies Ltd., Imperva, McAfee LLC, LogRhythm, Inc., Sophos Ltd., NortonLifeLock Inc. and Others

Market Dynamics of the Artificial Intelligence (AI) In Cybersecurity Market

Market Drivers

Globally, the number of cyberattacks is progressively rising. Cybercriminals target endpoints, networks, data, and other IT infrastructure, which costs consumers, businesses, and governments a lot of money. Political rivalry, financial gain, reputational injury, international rivalry, and the interest of radical religious groups are among the main motives of cybercriminals. Most cyberattacks aim to profit financially. Among the notable ransomware that has severely impacted businesses and government institutions are WannaCry, Petya, NotPetya, and BadRabbit. Business productivity is being hampered by cyber threats, which are also compromising enterprises’ sensitive data and vital IT infrastructure. Cybercrimes are happening more frequently as a result of the swift expansion in digital trade across a variety of industries worldwide. The market for cybersecurity goods and services is being driven by the surge in data breaches or leaks at businesses. As a result, protecting against cyber risks has become crucial for commercial growth for organizations. 

Market Restraints

All AI methods and techniques, including machine learning, deep learning, genetic algorithms, and neural networks, are built on prior experiences. In other words, cybersecurity AI is built on learning from previous malware about what malware looks like and how it behaves. An unidentified computer security flaw is exploited by zero-day malware. An advanced persistent threat (APT) is a network attack in which an unauthorized user logs onto a network and remains there for a protracted length of time without being noticed. Genuine defense against complex, cutting-edge threats must not rely on earlier viruses or assaults. Therefore, a market limitation is being caused by AI’s incapacity to counter advanced threats.

Market Opportunities

The security of complex networks is always under attack from both internal and external dangers, according to the zero-trust paradigm. Each connection a user makes to software or an application that connects to a data set via an API is verified and approved by a zero-trust security model (API). It aids in the organization and planning of a comprehensive strategy to deal with online threats. No one or any application should ever be assumed to be trustworthy, according to the zero-trust principle. The cornerstone of zero trust, the idea of least-privileged access, states that trust should be built according to the context (such as user identification and location, endpoint security posture, and the app or service being requested), with policy checks at each stage. 

Market Segmentations of the Artificial Intelligence (AI) In Cybersecurity Market

Type Insights

The market is divided into identity and access security services, network security services, cloud security services, data security services, and others based on the type of security provided. The fastest growth among all is anticipated to occur in the AI for cloud cyber security services throughout the projection period. The majority of causes driving the quickest growth of AI in the market for cyber security services include the growing number of large businesses using cloud platforms as servers and data repositories, which leaves them exposed to cyberattacks.

Offering Insights

In 2022, a significant revenue share is predicted for the services sector. The category is anticipated to significantly contribute to the expansion of the global market for AI in cybersecurity. The market will grow as a result of the strong need for application program interfaces, including those for machine learning techniques, sensor data, speech, and vision. The program is unique in its capacity to accurately and reliably identify abnormal activity. The software platform will advance to bolster the security offering as hardware operations become more popular. Modern cybersecurity solutions are going to be emphasized by industry participants, who may also invest money in the software platform. They’ll probably expand on open-source software, open system architecture, and open standards to advance secret computing.

Technology Insights

With a revenue share in 2022, the machine learning segment took the lead. Against the backdrop of deep learning’s explosive deployment across end-use industries, machine-learning technologies will experience significant growth. Leading businesses, including Google and IBM, have begun employing machine learning for threat detection and email filtering. Businesses are leveraging the potential of deep learning and machine learning to advance cybersecurity procedures. Additionally, ML platforms are becoming more and more popular as a way to automate monitoring, detect deviation from the norm, and sort through the enormous amount of data generated by security technologies.

Vertical Insights

In terms of revenue share, the enterprise category led in 2022. However, the BFSI industry may develop into a significant market for cyber-AI to stop data leaks, fend off cyberattacks, and improve security. A paradigm shift in how people make payments, purchases, borrow money, and withdraw money through crowdfunding has been brought about by the wave of innovations and technological advancements. The Hardware’s zero-trust concept is also anticipated to be relied upon by banks and other financial institutions to strengthen threat intelligence-based operations.

Application Insights

The global revenue share in 2022 was accounted for by the fraud detection and anti-fraud segment. AI in cybersecurity will be encouraged for fraud detection and anti-fraud as preventative measures upfront. A growing number of fraud instances have led to the emergence of machine learning as a practical technique for enhancing the capacity of governments and other end-users to prevent fraudulent actions. As a result, AI tools may be used more frequently to stop fraud, email phishing, and false records. To safeguard their digital assets from dangers including spyware-infected files, phishing assaults, unauthorized website access, and trojans, businesses have shown greater interest in unified threat management (UTM).

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Recent Development

  • In March 2019, NVIDIA revealed the Jetson Nano, a device that can build numerous intelligent systems. The little yet mighty CUDA-X AI computer, which delivers 472 GFLOPS of computational capabilities while utilizing as little as 5 watts of power, can execute modern AI applications.
  • In Feb 2019, Cylance launched the Cylance native AI platform, which offers automated threat detection, prevention, forensic investigation, and response capabilities to customers all around the world. Deep-learning Al algorithms are combined into a single, adaptable agent to provide an all-encompassing attack surface defense.
  • In Feb 2019, privately held cybersecurity and artificial intelligence company Cylance was purchased by BlackBerry Limited. After the acquisition, Cylance’s machine learning and artificial intelligence technologies are now a part of BlackBerry’s end-to-end secure communications offering. Notably, BlackBerry Spark’s advancement as the safe communications platform for the Internet of Things (IoT) in the future is accelerated by its embeddable AI technology.
  • In March 2020, a legally binding agreement has been reached for WatchGuard Technologies Inc. to buy Panda Protection, a supplier of endpoint security with operations in Madrid. As a result of this transaction, the previous organization’s network offerings will grow.

Market Segmentation

By Type

  • Network Security
  • Endpoint Security
  • Application Security
  • Cloud Security

By Offering

  • Hardware
  • Software
  • Services

By Technology

  • Machine Learning
  • Natural Language Processing (NLP)
  • Context-aware Computing

By Vertical

  • BFSI
  • Retail
  • Government & Defense
  • Manufacturing
  • Enterprise
  • Healthcare
  • Automotive & Transportation
  • Others

By Application

  • Identity And Access Management
  • Risk And Compliance Management
  • Data Loss Prevention
  • Unified Threat Management
  • Fraud Detection/Anti-Fraud
  • Threat Intelligence
  • Others

By Geography

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • The Middle East and Africa

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Artificial Intelligence

Kanazawa University research: Biochemical tails tell a story

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KANAZAWA, Japan, April 24, 2024 /PRNewswire/ — Researchers at Nano Life Science Institute (WPI-NanoLSI), Kanazawa University report in Nano Letters how the use of high-speed atomic force microscopy helps to understand the crucial role played by certain biomolecules in DNA wrapping dynamics.

In plants and animals, the basic packaging units of DNA, which carry genetic information, are the so-called nucleosomes. A nucleosome consists of a segment of DNA wound around eight proteins known as histones. During gene expression (the process lying at the basis of protein production), nucleosomes are involved in various dynamical structural changes, such as nucleosome sliding, DNA unwrapping and other DNA–histone interactions. Of particular importance in these processes are the end structures, or tails, of the histones. Histone tails undergo chemical modifications, changing the histone’s functionality as needed. Detailed studies, and especially visualizations, of nucleosome dynamics are crucial for better understanding the role of histone tails. Mikihiro Shibata from Kanazawa University and colleagues have now succeeded in making video recordings of tail-less nucleosomes, showing that the absence of histone tails significantly increases a nucleosome’s dynamic activity.
The scientists used high-speed atomic force microscopy (HS-AFM), a powerful nanoimaging tool for visualizing molecular structures and their dynamics at high spatial and temporal resolution. For this, the nucleosomes needed to be put onto a substrate. Shibata and colleagues used a film of so-called pillar[5]arenes (molecules with a pentagonal tubular structure) as the substrate, forming an ideal surface as the nucleosomes are easily adsorbed to it without dynamical processes getting suppressed.
The researchers first looked at nucleosomes for which all eight histones lacked tails. Based on their HS-AFM observations, they concluded that nucleosome sliding and DNA unwrapping/rewrapping occurred more often than for normal (canonical) nucleosomes. This suggests that without tails, the histone–DNA interaction is weakened, leading to a situation in which DNA can more easily detach from the histones.
To better understand the roles of specific histone tails, Shibata and colleagues prepared nucleosomes where one type of histone was tailless. There are four different types of histones, called H2A, H2B, H3 and H4. HS-AFM experiments on the nucleosomes revealed that H2B and H3 tail-less nucleosomes showed an increased frequency of dynamics. Conversely, this means that canonical H2B and H3 histones are essential for nucleosome stability.
The scientists point out that they could not observe any actual motion of histone tails — most likely the temporal resolution of the study, 0.3 seconds, was much slower than the rate of the wrapping/unwrapping dynamics of the tails. Despite this limitation, the work of Shibata and colleagues clearly proves that the tails of H2B and H3 histones are the main contributors to nucleosome dynamics. Regarding future work, quoting the researchers, “a technique for tagging histone tail tips might enable HS-AFM to capture the movements of the histone tails themselves.”
Background
High-speed atomic force microscopy
The general principle of atomic force microscopy (AFM) is to make a very small tip scan the surface of a sample. During this horizontal (xy) scan, the tip, which is attached to a small cantilever, follows the sample’s vertical (z) profile, inducing a force on the cantilever that can be measured. The magnitude of the force at the xy position can be related to the z value; the xyz data generated during a scan then result in a height map providing structural information about the investigated sample. In high-speed-AFM (HS-AFM), the working principle is slightly more involved: the cantilever is made to oscillate near its resonance frequency. When the tip is moved around a surface, the variations in the amplitude (or the frequency) of the cantilever’s oscillation — resulting from the tip’s interaction with the sample’s surface — are recorded, as these provide a measure for the local z value. AFM does not involve lenses, so its resolution is not restricted by the so-called diffraction limit as in X-ray diffraction, for example.
HS-AFM results in a video, where the time interval between frames depends on the speed with which a single image can be generated (by xy-scanning the sample). Researchers at Nano Life Science Institute (WPI-NanoLSI), Kanazawa University have in recent years developed HS-AFM further, so that it can be applied to study biochemical molecules and biomolecular processes in real-time. Mikihiro Shibata and colleagues have now applied the method to study nucleosome dynamics in detail, and in particular the role of the molecular endings of histones — proteins that play a crucial role in DNA accessibility.
Reference
Shin Morioka, Takumi Oishi, Suguru Hatazawa, Takahiro Kakuta, Tomoki Ogoshi, Kenichi Umeda, Noriyuki Kodera, Hitoshi Kurumizaka, and Mikihiro Shibata. High-Speed Atomic Force Microscopy Reveals the Nucleosome Sliding and DNA Unwrapping/Wrapping Dynamics of Tail-less Nucleosomes, Nano Letters ,2024.
DOI: 10.1021/acs.nanolett.4c00801https://pubs.acs.org/doi/10.1021/acs.nanolett.4c00801 
https://nanolsi.kanazawa-u.ac.jp/wp/wp-content/uploads/Figure-1-12.png Figure 1.
High-speed atomic force microscopy visualization of nucleosome dynamics with canonical (top) and tail-less (bottom) histones.© 2024 American Chemical Society
ContactHiroe YonedaSenior Specialist in Project Planning and OutreachNanoLSI Administration Office, Nano Life Science Institute (WPI-NanoLSI)Kanazawa UniversityKakuma-machi, Kanazawa 920-1192, JapanEmail: [email protected]: +81 (76) 234-4555
About Nano Life Science Institute (WPI-NanoLSI), Kanazawa University
Understanding nanoscale mechanisms of life phenomena by exploring “uncharted nano-realms”
Cells are the basic units of almost all life forms. We are developing nanoprobe technologies that allow direct imaging, analysis, and manipulation of the behavior and dynamics of important macromolecules in living organisms, such as proteins and nucleic acids, at the surface and interior of cells. We aim at acquiring a fundamental understanding of the various life phenomena at the nanoscale.https://nanolsi.kanazawa-u.ac.jp/en/
About the World Premier International Research Center Initiative (WPI)
The WPI program was launched in 2007 by Japan’s Ministry of Education, Culture, Sports, Science and Technology (MEXT) to foster globally visible research centers boasting the highest standards and outstanding research environments. Numbering more than a dozen and operating at institutions throughout the country, these centers are given a high degree of autonomy, allowing them to engage in innovative modes of management and research. The program is administered by the Japan Society for the Promotion of Science (JSPS).
See the latest research news from the centers at the WPI News Portal: https://www.eurekalert.org/newsportal/WPI
Main WPI program site: www.jsps.go.jp/english/e-toplevel
About Kanazawa University
As the leading comprehensive university on the Sea of Japan coast, Kanazawa University has contributed greatly to higher education and academic research in Japan since it was founded in 1949. The University has three colleges and 17 schools offering courses in subjects that include medicine, computer engineering, and humanities.
The University is located on the coast of the Sea of Japan in Kanazawa – a city rich in history and culture. The city of Kanazawa has a highly respected intellectual profile since the time of the fiefdom (1598-1867). Kanazawa University is divided into two main campuses: Kakuma and Takaramachi for its approximately 10,200 students including 600 from overseas.http://www.kanazawa-u.ac.jp/e/
 
 
 

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Artificial Intelligence

Geek+ and System Teknik deploy first PopPick solution in the Nordics for the pharmacy group Med24.dk

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DUSSELDORF, Germany, April 24, 2024 /PRNewswire/ — Geekplus, the global leader in mobile robot and smart logistics solutions, has deployed the first Shelf-to-Person PopPick project in the Nordics for one of the biggest online pharmacy wholesalers in the region, Med24.dk. System Teknik partnered on the Denmark project, which includes three PopPick stations and 30 Shelf-to-Person robots, bringing a flexible solution to a region where fixed automation still dominates.  

“With the rise of e-commerce, Med24.dk had been struggling with huge sales growth coupled with fast delivery demands from customers in Denmark, Norway, Sweden searching for pharmacy, health and beauty products. Peak season events had also caused considerable strain to their operations,” said Blond Shkodrani, channel partner manager for the Nordics at Geekplus. “Due to their overwhelming success, Med24.dk needed a modular, automated order fulfillment solution for fast, efficient order fulfillment.”
The Geekplus modular Shelf-to-Person solution optimizes warehouse operations using mobile robots to transport shelves. In a region where fixed and cubic solutions have been the trend during recent years, Shelf-to-Person handles goods of all sizes while removing the need for infrastructure investment, making it the most flexible response to order fulfillment challenges.
PopPick workstations use two retrieval arms and four presentation locations to present pickers with multiple, moveable 78-tote racks at one time, resulting in an industry-leading throughput of 450 totes per hour. PopPick can store goods of all types and sizes; the solution is not limited to small pieces and improves ergonomics for workers while picking. It also takes up less space than traditional systems, so customers can use more stations without adding facility space.
“We are very pleased to invest in flooring robots from Geekplus,” said Med24.dk CEO Nils Træholt. “We believe that this new and innovative technology can help us realize our growth ambitions, while maintaining good delivery times for the benefit of our customers.”
Morten Kirch, System Teknik’s CSO, added: “Due to Med24.dk’s growth, we are thrilled to be able to deliver a tailor-made, automated solution that matches their needs.”
Geekplus offers a suite of Goods-to-Person mobile order fulfillment solutions — the only comprehensive robotic offering controlled by a single software platform.
“Through trusted partners like System Teknik, we’re showing customers all over Europe that Geekplus truly is a one-stop shop for modular warehouse automation,” Shkodrani said.
Photo – https://mma.prnewswire.com/media/2395198/Med24_Geekplus_PopPick.jpg Logo – https://mma.prnewswire.com/media/2373458/Geekplus_logo.jpg
 
 

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Artificial Intelligence

VdoCipher’s Video Piracy Tracker Engine Blocks 60,000+ Pirates on 700+ Platforms

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The company has global footprints across 120+ countries, serves over 10,000+ content creators, and educators across 3,000+ platforms
GURUGRAM, India, April 24, 2024 /PRNewswire/ — VdoCipher, a leading provider of video player and piracy protection solutions for content creators, e-learning, and media platforms, has announced significant success in combating video piracy with its latest innovation, the Piracy Tracker Engine. In just six months, this cutting-edge technology has blocked over 60,000 piracy attempts across 700+ content platforms, reinforcing VdoCipher’s commitment to safeguarding digital content and revenues.

For over eight years, VdoCipher has been pioneering DRM Encryption and Dynamic Watermark technologies, offering robust security solutions to content creators worldwide. Six months ago, the company introduced the Piracy Tracker and Hacker Identification Engine, aimed at identifying and blocking piracy attempts. This innovative solution targets various forms of piracy, including DRM breaches, credential sharing, and illegal clone applications.
VdoCipher, with a significant presence across the European market, serves over 10,000+ content creators across 3,000 platforms. Vibhav Sinha, CTO, VdoCipher, commented, “Every year we try to add an additional layer of technology to our security stack. Adding to strong Video DRM encryption, we now identify a combination of 12 viewer behavior patterns using our secure player. We provide an easy-to-use dashboard for our customers to get all piracy info. Some of the popular e-learning platforms have already made use of this tool to catch hackers, grow users, and enhance their revenues.”
The proliferation of internet video piracy tools poses a significant challenge, particularly in Europe. Recent statistics reveal that streaming accounted for 58% of piracy in the EU in 2022, with downloading comprising 32%. Top 10 popular global video downloaders have 110+ Million users.
Additionally, a report analyzing online piracy facts worldwide shows that Europeans have the biggest piracy problem (45.72%). In Italy, Spain, Portugal, Germany, UK and France, film piracy has soared during the Covid19 pandemic. Moreover, Telegram and other platforms have facilitated the widespread dissemination of pirated content, with hundreds of groups each having over 10,000 users leaking course videos.
In the past six months, VdoCipher’s Piracy Tracker Engine has yielded impressive results:
63,210 sessions blocked for potential piracy attempts.12,330 unique devices/IPs blocked.1,690 users were detected for credential misuse.384 user accounts proactively blocked based on piracy data.Legal actions were initiated against 5 users.Siddhant Jain, CEO of VdoCipher, emphasized, “One problem in online education and the content creator economy that no one talks about is video piracy. Video piracy robs creators of revenue but also robs students of learning from good-quality teachers. Teachers fear putting their best content online due to piracy; so ultimately, it also harms the student community. At VdoCipher, with our video hosting solutions, it is our mission to bring more educators and content creators online by ensuring that they do not lose revenues due to online piracy; at the same time, viewers across the globe have the best viewing experience.”
Contact: Siddhant [email protected]
Logo: https://mma.prnewswire.com/media/2394780/VdoCipher_Logo.jpg
 

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