Cybersecurity is used to safeguard computers, internet servers, mobiles, data, networks, and electronic systems from malignant access. It is also specified as information technology security. Currently, cybersecurity is a vital part of the execution of the latest technologies.
Numerous threats are evolving in the digital world and hence automated and AI-based solutions are a definite requirement to eliminate these threats. Applications such as Smart Homes, Connected Cars, and Delivery Robots are instances where the need for automated and AI-based solutions is necessary. The risks posed by these attacks are due to several factors, including increasingly complex and widespread digital networks and a growing sensitivity to data privacy concerns.
These are the key findings of Reply’s new “Cybersecurity Automation” research, which was made possible by the company’s proprietary SONAR platform and the assistance of PAC (Technology Group) in measuring and forecasting market growth.
The research specifically assesses the main market trends in security system automation, in terms of the analysis of studies of the sector in combination with the proof from Reply’s customers. “Europe-5” (Italy, Germany, France, the Netherlands, Belgium) and the “Big-5” (USA, UK, Brazil, China, India) are the two countries that are analyzed by the data to better comprehend the way the latest AI solutions are carried out in the ever-changing cybersecurity landscape.
The use of hyper-automation procedures has displayed the way artificial intelligence and machine learning can resolve issues related to cyberattacks such as hacking, phishing, ransomware, malware, etc. These attacks are on the increase lately causing businesses to lose trillions of euros in terms of profit and brand reputation.
The application of these technologies is required at all stages of security ranging from software to infrastructure, and from devices to cloud computing.
The global cybersecurity market will invest $300 billion over the next five years, with a large portion going toward automating security measures to enhance detection and response times to threats in four different segments: application security, endpoint security, data security, and protection, and Internet of Things security.
Application security
Application security is the adoption of security measures such as security software, hardware, and techniques at the application level to safeguard the data or computer applications from theft or external security threats.
Developers, who pioneered the concept of “security by design,” An adaptive approach to technology design security, are now focusing on DevSecOps, or even closer collaboration with operations and security teams. This more recent model emphasizes the integration of security measures throughout the application development lifecycle. Automating testing at each stage is critical for reducing the number of vulnerabilities in an application, and many testing and analysis tools are incorporating AI to improve their accuracy or capabilities. Investments in application security automation in the Europe-5 market are expected to be more than seven times their current value by 2026, reaching 669 million euros. A similar increase is expected in the Big-5 market, with investments reaching 3.5 billion euros.
Endpoint security
Endpoint security is the process of securing endpoints or end-user devices such as desktops, laptops, and mobiles from malignant threats or attacks. These are vulnerable elements that can be used as entry points for cyberattacks if not protected properly.
Because the average number of endpoints within a company has increased significantly in recent years, identifying and implementing efficient and comprehensive protection tools is critical for survival.
The tools designed to reduce the time taken to respond to emerging security threats, entrusting repetitive and tedious tasks to software to manage them more efficiently are the EDR (Endpoint Detection and response) and XDR (Extended detection and response)tools. Over the next few years, investments in these tools are expected to rise in both the Europe-5 and Big-5 markets, reaching 757 million euros and 3.65 billion euros, respectively. There are also a plethora of other incident management tools and systems that can be integrated at the enterprise level. For example, AI can be used in key areas such as threat management and incident response in Security Orchestration Automation and Response (SOAR) solutions.
Over the next few years, investments in these tools are expected to rise in both the Europe-5 and Big-5 markets, reaching 757 million euros and 3.65 billion euros, respectively. There are also a plethora of other incident management tools and systems that can be integrated at the enterprise level.
For example, AI can be used in key areas such as threat management and incident response in Security Orchestration Automation and Response (SOAR) solutions.
Data security and protection
Data security threats, also known as data breaches, can cause significant harm to a company, resulting in risky legal ramifications or deterioration of brand reputation. Data preservation and storage are becoming increasingly important challenges.
Various security threats may occur due to the below factors:
- Poor data manipulation
- Cyberattacks
- Deceitful employees
- Unskilled technology users
Artificial intelligence’s use can help to simplify these data security techniques, from discovery to classification to remediation.
Security automation is expected to lower the cost of a data breach by playing a key role in various stages of a cyberattack, such as data loss prevention tools (DLP), encryption, and tokenization. Companies in the Europe-5 cluster are expected to invest 915 million euros in data security automation by 2026 in order to improve system security and data privacy. In the same timeframe, the Big-5 market will quadruple in value, reaching 4.4 billion euros.
Internet of Things security
Because of the interconnected nature of IoT, every device in a network can be a potential weak point, which means that a single vulnerability could be enough to bring an entire infrastructure down. It is estimated that there will be 80 billion IoT devices on the planet by 2026. The impressive range of capabilities provided by IoT devices for various industries, while enabling smart factories, smart logistics, and smart speakers, prevents the development of a standardized solution for IoT cybersecurity. As IoT networks expand into industries ranging from healthcare to automotive, the risks only increase.
As a result, one of the most difficult challenges is IoT security: the divide between IT and OT (Operational Technology) must be bridged before IoT can deliver its full business value. As a result, the Europe-5 cluster’s IoT security automation market is expected to exceed one billion euros by 2026. Investments in the Big-5 market will total 4.6 billion euros.
Reply’s CTO, Filippo Rizzante, stated that the remarkable development observed in the cybersecurity sector is driven by necessity, not trend. Public and private sectors, healthcare, and government services are under cyberattack daily.
Hence this is the most important time than ever to reassess the security strategies and achieve new levels of maturity through automation, keeping in mind that, while artificial intelligence has increased the threat of the hacker, cyberattacks can be prevented and countered by taking advantage of AI’s opportunities.
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