Artificial Intelligence
Artificial Intelligence (AI) in Cyber Security Market 2022 to Showing Impressive Growth by CAGR of 26.3% | [No. of pages: 105] Industry Trends, Share, Size, Top Key Players Analysis and Forecast Research| by proficient market insights
Pune, May 25, 2022 (GLOBE NEWSWIRE) — Artificial Intelligence (AI) in Cyber Security Market Report provide in-depth study of the current state of the Industry. Initially, the report shows a basic overview of the industry including definitions, classifications, applications, share, trend, forecast analysis, growth, Manufacturers, Industrial end users, Commercial end users, Government bodies and more….
Artificial Intelligence (AI) in Cyber Security in Cyber Security can provide an alternative to traditional cyber security solutions. Rather than counting on code signatures, machines can evaluate the behavior of the program and use machine learning to discover a match, where that behavior is predictive of malicious code. Artificial Intelligence (AI) in Cyber Security in Cyber Security is most effective as a tool when it has access to a large pool of data to study and analyze from, minimizing attack surfaces through predictive analytics. The volume of security alerts that appear daily can be very overwhelming for the security team. Automating threat identification and response supports lighten the load off of cyber security experts who have to deal with prioritizing cyber security-related concerns and can aid the detection of threats much more efficiently than other software-driven methods.
Who Are Artificial Intelligence (AI) in Cyber Security Market Key Manufacturers?
Company Information: List of Top Manufacturers/ Key Players In Artificial Intelligence (AI) in Cyber Security Market Insights Report Are:
- BAE Systems
- Cisco
- Fortinet
- FireEye
- Check Point
- IBM
- RSA Security
- Symantec
- Juniper Network
- Palo Alto Networks
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Scope of the Artificial Intelligence (AI) in Cyber Security Market 2022:
Artificial Intelligence (AI) in Cyber Security is a result of software that tries to create a decision mechanism similar to human brain’s decision mechanism.
Market Analysis and Insights: Global Artificial Intelligence (AI) in Cyber Security in Cyber Security Market
The global Artificial Intelligence (AI) in Cyber Security in Cyber Security market size is projected to reach US$ 76120 million by 2028, from US$ 14590 million in 2021, at a CAGR of 26.3% during 2022-2028.
Top three players which is IBM, Palo Alto Networks and Cisco occupy for over 37% market share in 2018.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Artificial Intelligence (AI) in Cyber Security in Cyber Security market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Artificial Intelligence (AI) in Cyber Security in Cyber Security market in terms of revenue.
Overall, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Artificial Intelligence (AI) in Cyber Security in Cyber Security market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Artificial Intelligence (AI) in Cyber Security in Cyber Security market.
Global Artificial Intelligence (AI) in Cyber Security in Cyber Security Scope and Market Size
Artificial Intelligence (AI) in Cyber Security in Cyber Security market is segmented by players, region (country), by Type and by Application. Players, stakeholders, and other participants in the global Artificial Intelligence (AI) in Cyber Security in Cyber Security market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application for the period 2017-2028.
It also discussions about the market size of different segments and their growth aspects along with growth trends, various stakeholders like investors, CEOs, traders, suppliers, Research & media, Global Manager, Director, President, SWOT analysis i.e. Strength, Weakness, Opportunities and Threat to the organization and others. Revenue forecast, company share, competitive landscape, growth factors and trends
COVID-19 / Great lockdown has compress the global economy and with it the manufacturing sector, production, disruption, financial.
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On the thought of the product, this report displays the assembly, revenue, price, Classifications market share and rate of growth of each type, primarily split into
- Machine Learning
- Natural Language Processing
- Other
On the thought of the highest users/applications, this report focuses on the status and outlook for major applications/end users, consumption (sales), market share and rate of growth for each application, including
- BFSI
- Government
- IT & Telecom
- Healthcare
- Aerospace and Defense
- Other
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A comprehensive exploration of the market is framed by thinking about a spread of things, from socioeconomics conditions and business cycles during a specific nation to showcase explicit microeconomic effects. The examination discovered the change in market ideal models regarding local upper hand and along these lines the serious scene of significant players. Downstream interest examination and upstream crude materials and hardware furthermore regulate.
This report focuses on the Artificial Intelligence (AI) in Cyber Security in Global market, especially in North America, Europe and Asia-Pacific, South America, Middle East and Africa. This report categorizes the market based on manufacturers, regions, type and application. The Artificial Intelligence (AI) in Cyber Security market report gives the clear picture of current market scenario which includes historical and projected market size in terms of value and volume, technological advancement, macro economical and governing factors in the market. The worldwide market for Artificial Intelligence (AI) in Cyber Security is anticipated to rise at a considerable rate during the forecast period, between 2020 and 2028. according to a new study.This report focuses on the Artificial Intelligence (AI) in Cyber Security in global market, especially in North America, Europe and Asia-Pacific, South America, Middle East and Africa. This report categorizes the market based on manufacturers, regions, type and application.,
Artificial Intelligence (AI) in Cyber Security Market growth, by Geography: Major regions covered within the report: Consumption by Region 2022:-
North America,U.S.,Canada,Europe,Germany,France,U.K.,Italy,Russia,Asia-Pacific,China,Japan,SouthKorea,India,Australia,Taiwan,Indonesia,Thailand,Malaysia,Philippines,Vietnam,Latin America,Mexico,Brazil,Argentina,Middle East & Africa,Turkey,Saudi Arabia,U.A.E
The report can help to know the market and strategize for business expansion accordingly. Within the strategy analysis, it gives insights from market positioning and marketing channel to potential growth strategies, providing in-depth analysis for brand fresh entrants or exists competitors within the Artificial Intelligence (AI) in Cyber Security industry. Global Artificial Intelligence (AI) in Cyber Security Market Report 2022 provides exclusive statistics, data, information, trends and competitive landscape details during this niche sector.
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Key questions answered in Artificial Intelligence (AI) in Cyber Security market report:
- What will the market growth rate of Artificial Intelligence (AI) in Cyber Security market in 2022?
- What are the key factors driving the global Artificial Intelligence (AI) in Cyber Security market?
- Who are the key manufacturers in Artificial Intelligence (AI) in Cyber Security market space?
- What are the market opportunities, market risk and market overview of the Artificial Intelligence (AI) in Cyber Security market?
- What are sales, revenue, and price analysis of top manufacturers of Artificial Intelligence (AI) in Cyber Security market?
- Who are the distributors, traders and dealers of Artificial Intelligence (AI) in Cyber Security market?
- What are the Artificial Intelligence (AI) in Cyber Security market opportunities and threats faced by the vendors in the global Artificial Intelligence (AI) in Cyber Security market?
- What are sales, revenue, and price analysis by types and applications of Artificial Intelligence (AI) in Cyber Security market?
- What are sales, revenue, and price analysis by regions of Artificial Intelligence (AI) in Cyber Security market?
With tables and figures helping analyze worldwide Global Artificial Intelligence (AI) in Cyber Security Market Forecast this research provides key statistics on the state of the industry and should be a valuable source of guidance and direction for companies and individuals interested in the market.
Major Points from Table of Contents:
Table of Contents
1 Artificial Intelligence (AI) in Cyber Security Market Overview
1.1 Product Overview and Scope of Artificial Intelligence (AI) in Cyber Security
1.2 Artificial Intelligence (AI) in Cyber Security Segment by Type
1.2.1 Global Artificial Intelligence (AI) in Cyber Security Market Size Growth Rate Analysis by Type 2022 VS 2028
1.3 Artificial Intelligence (AI) in Cyber Security Segment by Application
1.3.1 Global Artificial Intelligence (AI) in Cyber Security Consumption Comparison by Application: 2022 VS 2028
1.4 Global Market Growth Prospects
1.4.1 Global Artificial Intelligence (AI) in Cyber Security Revenue Estimates and Forecasts (2017-2028)
1.4.2 Global Artificial Intelligence (AI) in Cyber Security Production Capacity Estimates and Forecasts (2017-2028)
1.4.3 Global Artificial Intelligence (AI) in Cyber Security Production Estimates and Forecasts (2017-2028)
1.5 Global Market Size by Region
1.5.1 Global Artificial Intelligence (AI) in Cyber Security Market Size Estimates and Forecasts by Region: 2017 VS 2021 VS 2028
1.5.2 North America Artificial Intelligence (AI) in Cyber Security Estimates and Forecasts (2017-2028)
1.5.3 Europe Artificial Intelligence (AI) in Cyber Security Estimates and Forecasts (2017-2028)
1.5.4 China Artificial Intelligence (AI) in Cyber Security Estimates and Forecasts (2017-2028)
1.5.5 Japan Artificial Intelligence (AI) in Cyber Security Estimates and Forecasts (2017-2028)
2 Market Competition by Manufacturers
2.1 Global Artificial Intelligence (AI) in Cyber Security Production Capacity Market Share by Manufacturers (2017-2022)
2.2 Global Artificial Intelligence (AI) in Cyber Security Revenue Market Share by Manufacturers (2017-2022)
2.3 Artificial Intelligence (AI) in Cyber Security Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
2.4 Global Artificial Intelligence (AI) in Cyber Security Average Price by Manufacturers (2017-2022)
2.5 Manufacturers Artificial Intelligence (AI) in Cyber Security Production Sites, Area Served, Product Types
2.6 Artificial Intelligence (AI) in Cyber Security Market Competitive Situation and Trends
2.6.1 Artificial Intelligence (AI) in Cyber Security Market Concentration Rate
2.6.2 Global 5 and 10 Largest Artificial Intelligence (AI) in Cyber Security Players Market Share by Revenue
2.6.3 Mergers & Acquisitions, Expansion
3 Production Capacity by Region
3.1 Global Production Capacity of Artificial Intelligence (AI) in Cyber Security Market Share by Region (2017-2022)
3.2 Global Artificial Intelligence (AI) in Cyber Security Revenue Market Share by Region (2017-2022)
3.3 Global Artificial Intelligence (AI) in Cyber Security Production Capacity, Revenue, Price and Gross Margin (2017-2022)
3.4 North America Artificial Intelligence (AI) in Cyber Security Production
3.4.1 North America Artificial Intelligence (AI) in Cyber Security Production Growth Rate (2017-2022)
3.4.2 North America Artificial Intelligence (AI) in Cyber Security Production Capacity, Revenue, Price and Gross Margin (2017-2022)
3.5 Europe Artificial Intelligence (AI) in Cyber Security Production
3.5.1 Europe Artificial Intelligence (AI) in Cyber Security Production Growth Rate (2017-2022)
3.5.2 Europe Artificial Intelligence (AI) in Cyber Security Production Capacity, Revenue, Price and Gross Margin (2017-2022)
3.6 China Artificial Intelligence (AI) in Cyber Security Production
3.6.1 China Artificial Intelligence (AI) in Cyber Security Production Growth Rate (2017-2022)
3.6.2 China Artificial Intelligence (AI) in Cyber Security Production Capacity, Revenue, Price and Gross Margin (2017-2022)
3.7 Japan Artificial Intelligence (AI) in Cyber Security Production
3.7.1 Japan Artificial Intelligence (AI) in Cyber Security Production Growth Rate (2017-2022)
3.7.2 Japan Artificial Intelligence (AI) in Cyber Security Production Capacity, Revenue, Price and Gross Margin (2017-2022)
4 Global Artificial Intelligence (AI) in Cyber Security Consumption by Region
4.1 Global Artificial Intelligence (AI) in Cyber Security Consumption by Region
4.1.1 Global Artificial Intelligence (AI) in Cyber Security Consumption by Region
4.1.2 Global Artificial Intelligence (AI) in Cyber Security Consumption Market Share by Region
4.2 North America
4.2.1 North America Artificial Intelligence (AI) in Cyber Security Consumption by Country
4.2.2 United States
4.2.3 Canada
4.3 Europe
4.3.1 Europe Artificial Intelligence (AI) in Cyber Security Consumption by Country
4.3.2 Germany
4.3.3 France
4.3.4 U.K.
4.3.5 Italy
4.3.6 Russia
4.4 Asia Pacific
4.4.1 Asia Pacific Artificial Intelligence (AI) in Cyber Security Consumption by Region
4.4.2 China
4.4.3 Japan
4.4.4 South Korea
4.4.5 China Taiwan
4.4.6 Southeast Asia
4.4.7 India
4.4.8 Australia
4.5 Latin America
4.5.1 Latin America Artificial Intelligence (AI) in Cyber Security Consumption by Country
4.5.2 Mexico
4.5.3 Brazil
5 Segment by Type
5.1 Global Artificial Intelligence (AI) in Cyber Security Production Market Share by Type (2017-2022)
5.2 Global Artificial Intelligence (AI) in Cyber Security Revenue Market Share by Type (2017-2022)
5.3 Global Artificial Intelligence (AI) in Cyber Security Price by Type (2017-2022)
6 Segment by Application
6.1 Global Artificial Intelligence (AI) in Cyber Security Production Market Share by Application (2017-2022)
6.2 Global Artificial Intelligence (AI) in Cyber Security Revenue Market Share by Application (2017-2022)
6.3 Global Artificial Intelligence (AI) in Cyber Security Price by Application (2017-2022)
7 Key Companies Profiled
7.1 Company
7.1.1 Artificial Intelligence (AI) in Cyber Security Corporation Information
7.1.2 Artificial Intelligence (AI) in Cyber Security Product Portfolio
7.1. CArtificial Intelligence (AI) in Cyber Security Production Capacity, Revenue, Price and Gross Margin (2017-2022)
7.1.4 Company’s Main Business and Markets Served
7.1.5 Company’s Recent Developments/Updates
8 Artificial Intelligence (AI) in Cyber Security Manufacturing Cost Analysis
8.1 Artificial Intelligence (AI) in Cyber Security Key Raw Materials Analysis
8.1.1 Key Raw Materials
8.1.2 Key Suppliers of Raw Materials
8.2 Proportion of Manufacturing Cost Structure
8.3 Manufacturing Process Analysis of Artificial Intelligence (AI) in Cyber Security
8.4 Artificial Intelligence (AI) in Cyber Security Industrial Chain Analysis
9 Marketing Channel, Distributors and Customers
9.1 Marketing Channel
9.2 Artificial Intelligence (AI) in Cyber Security Distributors List
9.3 Artificial Intelligence (AI) in Cyber Security Customers
10 Market Dynamics
10.1 Artificial Intelligence (AI) in Cyber Security Industry Trends
10.2 Artificial Intelligence (AI) in Cyber Security Market Drivers
10.3 Artificial Intelligence (AI) in Cyber Security Market Challenges
10.4 Artificial Intelligence (AI) in Cyber Security Market Restraints
11 Production and Supply Forecast
11.1 Global Forecasted Production of Artificial Intelligence (AI) in Cyber Security by Region (2023-2028)
11.2 North America Artificial Intelligence (AI) in Cyber Security Production, Revenue Forecast (2023-2028)
11.3 Europe Artificial Intelligence (AI) in Cyber Security Production, Revenue Forecast (2023-2028)
11.4 China Artificial Intelligence (AI) in Cyber Security Production, Revenue Forecast (2023-2028)
11.5 Japan Artificial Intelligence (AI) in Cyber Security Production, Revenue Forecast (2023-2028)
12 Consumption and Demand Forecast
12.1 Global Forecasted Demand Analysis of Artificial Intelligence (AI) in Cyber Security
12.2 North America Forecasted Consumption of Artificial Intelligence (AI) in Cyber Security by Country
12.3 Europe Market Forecasted Consumption of Artificial Intelligence (AI) in Cyber Security by Country
12.4 Asia Pacific Market Forecasted Consumption of Artificial Intelligence (AI) in Cyber Security by Region
12.5 Latin America Forecasted Consumption of Artificial Intelligence (AI) in Cyber Security by Country
13 Forecast by Type and by Application (2023-2028)
13.1 Global Production, Revenue and Price Forecast by Type (2023-2028)
13.1.1 Global Forecasted Production of Artificial Intelligence (AI) in Cyber Security by Type (2023-2028)
13.1.2 Global Forecasted Revenue of Artificial Intelligence (AI) in Cyber Security by Type (2023-2028)
13.1.3 Global Forecasted Price of Artificial Intelligence (AI) in Cyber Security by Type (2023-2028)
13.2 Global Forecasted Consumption of Artificial Intelligence (AI) in Cyber Security by Application (2023-2028)
13.2.1 Global Forecasted Production of Artificial Intelligence (AI) in Cyber Security by Application (2023-2028)
13.2.2 Global Forecasted Revenue of Artificial Intelligence (AI) in Cyber Security by Application (2023-2028)
13.2.3 Global Forecasted Price of Artificial Intelligence (AI) in Cyber Security by Application (2023-2028)
14 Research Finding and Conclusion
15 Methodology and Data Source
15.1 Methodology/Research Approach
15.1.1 Research Programs/Design
15.1.2 Market Size Estimation
15.1.3 Market Breakdown and Data Triangulation
15.2 Data Source
15.2.1 Secondary Sources
15.2.2 Primary Sources
15.3 Author List
15.4 Disclaimer
Continued….
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Artificial Intelligence
Legal Operations Leaders and General Counsels to Discuss Business-Critical Challenges at Legal Operations Exchange 2024
LONDON, Sept. 30, 2024 /PRNewswire/ — The Legal Operations Exchange is set to return to the Hilton Syon Park in London for its third edition this 4-5 December. Bringing together 60 Legal Operations Leaders and General Counsels for two days of learning, discussion and networking, attendees will discover new solutions to their unique challenges and gain insight on effectively leveraging data and technology for efficiency gains and positioning the legal team at the heart of the organisation.
Given the progress in data analytics and generative AI solutions, the call to modernise and innovate in-house legal departments has never been more pressing. As the stewards of this shift to a more efficient and future-facing legal department, legal operations teams must both understand the legal technology landscape while also mastering the softer skills needed to implement and manage change successfully.
The Legal Operations Exchange has been designed to address the complexities of improving in-house legal operations from all angles. Confirmed attendees at this year’s event include Legal Operations Directors, General Counsels and Heads of Legal from top-tier organisations such as The Access Group, L’Oreal and Arla. All participants have been selected to attend this invitation-only gathering based on their active requirements to innovate their legal department’s operations.
A hallmark of the Legal Operations Exchange is its one-to-one business meetings which allow decision-makers who have pre-identified their specific challenges and investment areas to meet with relevant solution providers. With analysis by the Legal Operations Exchange revealing risk management, contract review and analytics, and document automation and generation as the top investment priorities of attendees so far, these bespoke, pre-scheduled meetings provide a dedicated platform for solution providers to demonstrate their capabilities to those actively seeking new solutions.
With nearly 10 hours of time dedicated to organic networking and pre-scheduled business meetings over the course of the two days, the event provides the opportunity for end users and solution providers alike to form new and lasting relationships. One previous attendee from Red Bull commented that: “The Legal Operations Exchange event was an excellent opportunity for networking. Its size was perfect – not too large, so you didn’t feel lost in the crowd, and not too small, so there was a diverse group of professionals to connect with. I found it incredibly easy to engage in meaningful conversations and build connections.”
The Legal Operations Exchange’s world-class, cross-industry speaker faculty is comprised of leading figures in the legal operations world, including Silke Engel, Director of Legal, Legal Operations and Technology at Coca Cola Europacific Partners, and Niklas Rahlmeyer, Head of New Business, Legal Operations and Services at E.ON.
For Legal Operations professionals, General Counsels and solution providers, the Legal Operations Exchange provides an unparalleled opportunity to form meaningful connections and share best practices for enhancing legal operations in today’s complex landscape. To secure your place or for more information on sponsorship opportunities, contact the Legal Operations Exchange team at [email protected] or visit our website here.
Contact: Kazia [email protected]
View original content:https://www.prnewswire.co.uk/news-releases/legal-operations-leaders-and-general-counsels-to-discuss-business-critical-challenges-at-legal-operations-exchange-2024-302262399.html
Artificial Intelligence
Tyne and Wear Fire and Rescue Service U.K. to Deploy Motorola Solutions’ Cloud-Hosted Control Room Solution
New response system helps streamlining workflows, strengthening resilience and improving safety for more than 1 million people in Northeast England
LONDON, Sept. 30, 2024 /PRNewswire/ — Tyne and Wear Fire and Rescue Service has announced that it is strengthening its emergency response capabilities through a cloud-hosted Control Room Solution (CRS) from Motorola Solutions (NYSE: MSI). This move will foster digitalisation, streamline workflows and offer the agency the ability to better scale operations in critical situations such as flooding and wildfires, which have increased in frequency in the U.K. in recent years.
“Our objective is to create one of the safest communities in the country,” said Phil Clark, Area Manager for mobilising and digital transformation at Tyne and Wear Fire and Rescue Service. “We are amongst the fastest responding fire and rescue services in the U.K. for dwelling fires with an average response time of 5 minutes 58 seconds.”
“We will continue to invest in new technologies and plan to offer other fire and rescue services the opportunity to join our newly created control room solution,” said Area Manager Clark. “In doing so, we’ll be able to seamlessly exchange information during joint operations, increase scalability to accommodate varying demand levels, and foster greater cooperation and faster responses in critical situations. Our relationship with Motorola Solutions will enable us to realise and deliver our operational vision, which will ultimately help to save lives and put Tyne and Wear Fire and Rescue Service at the forefront of Control Room technology in the U.K.”
Every day, more than 1 million people rely on Tyne and Wear Fire and Rescue Service, who operate 17 community fire stations in Northeast England. Their responsibilities across the community include responding to primary and secondary fires, road traffic collisions, civil emergencies, water and structural rescues and delivering fire safety advice to residents and businesses.
The browser-based CRS enables staff to access the control room by securely logging on from any location to set up mobile command posts or provide remote support for incidents. The new platform will integrate Motorola Solutions’ CommandCentral Evidence software for storing and securely handling control room voice recordings, unifying critical communications and data in one platform, while also linking to the appropriate cases.
“Demand on the fire and rescue service has evolved over the years, and emergency services continue to respond to a wide range of complex incidents,” said Fergus Mayne, U.K. and Ireland country manager at Motorola Solutions. “Our cloud-hosted CRS solution benefits Tyne and Wear Fire and Rescue Service with an intuitive and unified response system that integrates all communications into one efficient and resilient work environment.”
About Motorola Solutions
Motorola Solutions is solving for safer. We build and connect technologies to help protect people, property and places. Our solutions enable the collaboration between public safety agencies and enterprises that’s critical for a proactive approach to safety and security. Learn more about how we’re solving for safer communities, safer schools, safer hospitals, safer businesses – safer everywhere – at www.motorolasolutions.com.
Tyne and Wear Fire and Rescue Service
Tyne and Wear Fire and Rescue Service leads the operational delivery of fire and rescue, including public protection, emergency prevention and resilience for the five local authority areas of Gateshead, Newcastle, North Tyneside, South Tyneside and Sunderland.
The fire service operates from 17 community fire stations across Tyne and Wear, with our stations, employees and appliances strategically placed across the region to ensure efficient and effective response to fire and rescue emergencies. www.twfire.gov.uk
Photo – https://mma.prnewswire.com/media/2517802/TWFRS_Control_Room.jpg
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Artificial Intelligence
Heimdal and emt Distribution Aim to Dominate the Middle East Cybersecurity Market
COPENHAGEN, Denmark and DUBAI, UAE, Sept. 30, 2024 /PRNewswire/ — Heimdal and emt Distribution announce a strategic partnership that combines Heimdal’s advanced cybersecurity solutions with emt Distribution’s deep market expertise.
The collaboration will deliver sophisticated yet user friendly products to the Middle East. With Heimdal offering the widest cybersecurity stack in the world, and emt Distribution being the region’s leading distributor, the partnership is well-positioned for success.
Together, they are committed to educating the market on how strategic consolidation, training, and strong vendor relationships will maximize value.
Bringing a new dynamic to the market
Under this partnership, the two parties have promised to:
Roll out Heimdal’s Patch Management solution right away, as it’s a clear improvement over existing tools in the market.Provide local hosting in the United Arab Emirates by 2025, offering compliant, high-performance cloud services tailored to regional needs.Drive new technology adoption with pioneering tools, like the Threat Hunting and Action Center, along with emt Distribution’s market know-how.Offer easy-to-use technology, hands-on training, and show how a SOC can close security gaps while boosting profits.M Mobasseri, Co-Founder and CEO of emt Distribution META: “As we work closely with many cybersecurity experts and CISOs, we consistently encounter a range of challenges, particularly the complexity of managing numerous platforms. These platforms not only require specialized expertise but are also resource-intensive and costly.”
“Having known Heimdal for many years, I’ve witnessed their substantial investments in addressing these challenges and their development of a comprehensive cybersecurity platform that meets the critical needs of customers in the region.”
“Together with Heimdal, we are striving to integrate best-of-breed technologies into a unified platform, with plans for local hosting in 2025 to ensure compliance for businesses of all sizes. In addition, we are excited to announce special terms for our channel partners, aimed at maximizing their growth and profitability.”
Jesper Frederiksen, CEO of Heimdal, commented on the announcement: “Heimdal is pleased to announce a strategic partnership with emt Distribution, the leading security distributor in the Middle East. This collaboration comes in response to the rapidly growing demand for advanced cybersecurity solutions across the region.”
“By joining forces with emt Distribution, Heimdal aims to leverage their extensive network of resellers to provide cybersecurity solutions to organizations throughout the Middle East. Our joint initiative will focus on empowering organizations to significantly reduce their cyber risk exposure through Heimdal’s easy-to-use and cost-effective security solutions and emt Distribution’s unparalleled market reach.”, he added.
About emt Distribution META
emt Distribution META is a channel company with over 30 years of experience in security distribution, offering cyber threat mitigation solutions for Enterprises, SMBs, and MSPs. Committed to selling through channel partners, emt supports a large reseller base and provides technical support and professional services.
For more information, visit emt Distribution.
About Heimdal
Established in Copenhagen in 2014, Heimdal® empowers CISOs, security teams, and IT administrators to improve their security operations, reduce alert fatigue, and implement proactive measures through a unified command and control platform.
Heimdal’s award-winning cybersecurity solutions span the entire IT estate, addressing challenges from endpoint to network levels, including vulnerability management, privileged access, Zero Trust implementation, and ransomware prevention.
For more information, visit Heimdal.
For further press information:
Madalina PopoviciMedia Relations [email protected]
This information was brought to you by Cision http://news.cision.com
https://news.cision.com/heimdal-security/r/heimdal-and-emt-distribution-aim-to-dominate-the-middle-east-cybersecurity-market,c4044480
The following files are available for download:
https://mb.cision.com/Main/22623/4044480/3028629.pdf
Heimdal and emt Distribution Partnership – Press Release
https://news.cision.com/heimdal-security/i/heimdal-and-emt-distribution-partnership,c3338145
Heimdal and emt Distribution Partnership
View original content:https://www.prnewswire.co.uk/news-releases/heimdal-and-emt-distribution-aim-to-dominate-the-middle-east-cybersecurity-market-302262358.html
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