Artificial intelligence in cybersecurity market is defined

Artificial Intelligence in Cyber ​​Security Market

Rising number of cyber crimes is driving artificial intelligence (AI) in the cyber security market. The global increase in IoT adoption and the number of connected devices has simultaneously reduced the risk of cyberattacks.

Most mutual cyber fraud happened and recorded by big business such as payment card and ID theft, if not solved in time, it can lead to huge financial loss. Thus, the adoption of advanced security AI solutions is expected to propel the market growth.

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AI security solutions not only provide broader security compared to human capabilities, but also streamline the comprehensive reconnaissance and reconnaissance procedures related to cyber fraud.

Thus, increasing occurrences of cybersecurity risks are further expected to boost the adoption of AI technology in the cybersecurity market. However, the lack of AI technical expertise for advanced software implementation may hamper the growth of the AI ​​in cybersecurity market.

On the contrary, increasing demand for cloud-based security solutions among small and medium-sized businesses and increasing use of digital media for business expansion are driving factors for the global market. .

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The ongoing digitization is expected to increase at a rapid pace in the coming years. One of the biggest and most critical threats it poses is that our personal information is under threat like never before. Cyberattacks are widespread and affect every individual, business and government.

AI has proven extremely useful when it comes to identifying and detecting cyber threats based on analyzing data and recognizing a threat before it exploits a susceptibility in information systems. Developers are using AI to improve biometric authentication and get rid of limitations to make it a reliable system.

The best example is Apple’s iPhone X devices, which use facial recognition technology. The “Face ID” technology identifies the facial features of the user via neural engines and integrated infrared sensors.

This AI software creates a sophisticated model of the user’s face by identifying key patterns and correlation. Apple claims that with this technology, there is only a one in a million chance of misleading the AI ​​and opening your device with another face. Thus, AI has proven to be a leading technology to help businesses prepare against cyber threats.

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Major industries are investing in AI, but due to the shortage of skilled talent internally, industries are lacking to execute their AI strategies. Implementing an AI system requires technical expertise, which helps AI handle high-level machine reasoning, finding talent with apps, and implementing customer models.

Recruitment and upskilling are closely related issues when it comes to closing AI skills gaps. Certainly, the lack of skilled talent is expected to be a major impediment to advancing AI initiatives in industries, followed by lack of budget, lack of access to the right technology, and lack of access to useful data.

A report by (ISC)², Inc. predicted that the US cybersecurity workforce will grow 62% in the coming years to meet business needs for operational capabilities.

Globally, the numbers are even more daunting, as organizations that have adopted cybersecurity solutions have calculated that the global cybersecurity workforce must grow by 145% to eliminate skills gaps.

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Key benefits of the report:

• This study presents the analytical representation of the worldwide Artificial Intelligence in Cyber ​​Security industry together with the current trends and future estimations to determine the impending pockets of investment.

• The report presents information related to key drivers, restraints and opportunities along with detailed market share analysis.

• Current market is quantitatively analyzed from 2020 to 2027 to highlight the growth scenario of the market.

• Porter’s Five Forces analysis illustrates the power of buyers and suppliers in the marketplace.

• The report provides a detailed analysis of the market based on the current and future competitive intensity of the market.

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