Outlook on artificial intelligence in cybersecurity

Dublin, Dec 19, 2022 (GLOBE NEWSWIRE) — The Global Artificial Intelligence In Cybersecurity Market Size, Share & Industry Trends Analysis Report by Offering, Vertical, Application, Type, Technology, Regional Outlook and Forecast, 2022-2028 report. was added ResearchAndMarkets.com Offer.

The global artificial intelligence in cybersecurity market size is projected to reach US$57.1 billion by 2028, representing a market growth of CAGR 24.5% during the forecast period.

AI-powered systems can be set up to automatically respond to threats and combat online threats faster. Analyzing and improving cyber risk and cyber attacks is no longer a human-scale task as the business attack surface evolves and changes. In order to accurately quantify the risk, depending on the size of the organization, very different signals have to be processed.

Neural networks, along with other AI tools and techniques, have emerged in response to this unprecedented challenge to help information security teams protect sensitive data, reduce the risk of security breaches, and improve their security posture through more efficient and effective threat detection and removal capabilities .

Artificial Intelligence (AI) helps underserved security tasks and operations analysts stay ahead of threats as cyberattacks increase in volume and complexity. Artificial intelligence (AI) technologies such as machine learning or natural language processing curate threat intelligence from various historical databases, blogs, and news articles to provide rapid insights to break through the overload of daily alerts and significantly reduce response times.

COVID-19 Impact Analysis

Widespread scams involving the novel coronavirus and spoofing of official institutions like the WHO pose additional challenges for organizations.

For example, in the first year of 2020, Google detected a very large number of malware and phishing emails containing COVID-19 scams every day.

In order to protect servers and databases from such threats, the adoption of artificial intelligence in cyber security increased very rapidly. Hence, the growth of artificial intelligence in cybersecurity market has been impelled during the COVID-19 pandemic.

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market growth factors

Ensures a higher level of SSecurity against bot attacks and spam

Today, a significant portion of internet traffic consists of malicious bots. Bots can pose a serious threat that can cause everything from account takeovers with stolen passwords to fake account creation and data fraud.

Automated threats cannot be countered by manual response alone. With the help of AI and machine learning, it is possible to differentiate between good bots (e.g. search engine crawlers) and bad bots, as well as humans and website visitors.

Ability to predict and prevent security breaches

IT asset inventory, which is an accurate and complete list of all users, devices and apps with different levels of access to different systems, is determined using AI algorithms. AI-based solutions can now estimate how and where organizations are most vulnerable to attack based on asset inventory or threat landscape, allowing them to plan and direct resources to regions of greatest risk.

The leading players on the market compete with a wide range of innovative offers in order to remain competitive on the market. The figure below shows the percentage of sales shared by some of the leading companies in the market. The leading market players adopt different strategies to meet the demand from the various industries. The main development strategies in the market are product launches.

Market Inhibiting Factors

Increasing prevalence and complexity of data poisoning

Adoption of artificial intelligence is growing exponentially around the world. Artificial intelligence has been used to assess creditworthiness, identify faces and predict the weather. At the same time, hacks have increased in sophistication while adopting more stealthy techniques. With all industries looking for better tools and innovative uses for their technology, the merging of AI and cybersecurity seemed inevitable.

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Main topics covered:

Chapter 1. Market Scope and Methodology

Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market Composition and Scenario
2.2 Key factors affecting the market
2.2.1 Market Drivers
2.2.2 Market Restrictions

Chapter 3. Competitive Analysis – Global
3.1 Cardinal Matrix
3.2 Recent Industry-Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Enhancements
3.2.3 Acquisition and Mergers
3.3 Market Share Analysis, 2021
3.4 Top Winning Strategies
3.4.1 Key Leading Strategies: Percentage Distribution (2018-2022)
3.4.2 Key strategic moves: (Product launches and product enhancements: July 2018 – July 2022) Leading players

Chapter 4. Global Artificial Intelligence in Cybersecurity Market by Supply
4.1 Global Service Market by Regions
4.2 Global Hardware Market by Regions
4.3 Global Software Market by Regions

Chapter 5. Global Artificial Intelligence in Cybersecurity Market by Industry
5.1 Global Enterprise Market by Regions
5.2 Global BFSI Market by Regions
5.3 Global Retail Market by Regions
5.4 Global Government and Defense Market by Regions
5.5 Global Healthcare Market by Regions
5.6 Global Manufacturing Market by Regions
5.7 Global Others Market by Regions

Chapter 6. Global Artificial Intelligence in Cybersecurity Market by Application
6.1 Global Fraud Detection/Anti-Fraud & Threat Intelligence Market by Regions
6.2 Global Identity & Access Management Market by Regions
6.3 Global Risk and Compliance Management Market by Regions
6.4 Global Data Loss Prevention Market by Regions
6.5 Global Unified Threat Management and Others Market by Region

Chapter 7. Global Artificial Intelligence in Cybersecurity Market by Type
7.1 Global Network Security Market by Regions
7.2 Global Endpoint Security Market by Regions
7.3 Global Vertical Security Market by Regions
7.4 Global Cloud Security Market by Regions

Chapter 8. Global Artificial Intelligence in Cybersecurity Market by Technology
8.1 Global Machine Learning Market by Regions
8.2 Global Natural Language Processing (NLP) Market by Regions
8.3 Global Context-Aware Computing Market by Regions

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Chapter 9. Global Artificial Intelligence in Cybersecurity Market by Regions

Chapter 10. Company Profiles
10.1 IBM Corporation
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Regional and segmental analysis
10.1.4 Research and Development Costs
10.1.5 Recent Strategies and Developments:
10.1.5.1 Acquisitions and Mergers:
10.1.6 SWOT Analysis
10.2 Amazon Web Services, Inc. (Amazon.com, Inc.)
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Segment Analysis
10.2.4 Recent policies and developments:
10.2.4.1 Partnerships, collaborations and agreements:
10.2.5 SWOT Analysis
10.3 FireEye, Inc.
10.3.1 Company Overview
10.3.2 Recent policies and developments:
10.3.2.1 Acquisitions and Mergers:
10.4 BlackBerry Limited (CYLANCE)
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Segment and Regional Analysis
10.4.4 Research and Development Costs
10.4.5 Recent Strategies and Developments:
10.4.5.1 Product launches and product enhancements:
10.5 Fortinet, Inc.
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Regional Analysis
10.5.4 Research and Development Costs
10.5.5 Recent Strategies and Developments:
10.5.5.1 Product launches and product enhancements:
10.5.5.2 Acquisitions and Mergers:
10.6 Intel Corporation
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Segment and Regional Analysis
10.6.4 Research and Development Costs
10.6.5 SWOT Analysis
10.7 RELX PLC (LexisNexis Risk Solutions, Inc.)
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Segment and Regional Analysis
10.7.4 Research and Development Costs
10.8 Micron Technology, Inc.
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Segment and Regional Analysis
10.8.4 Research and Development Costs
10.9 Acalvio Technologies, Inc.
10.9.1 Company Overview
10.9.2 Recent Strategies and Developments:
10.9.2.1 Partnerships, collaborations and agreements:
10.9.2.2 Product launches and product enhancements:
10.10. Darktrace Holdings Limited
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Regional Analysis
10.10.4 Research and Development Expenses
10.10.5 Recent Strategies and Developments:
10.10.5.1 Partnerships, collaborations and agreements:
10.10.5.2 Product launches and product enhancements:
10.10.5.3 Acquisitions and Mergers:

For more information about this report, visit https://www.researchandmarkets.com/r/drwwk7

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