Growing Threats in the Digital World needs Automation and AI

Enterprise Security Magazine | Saturday, June 11, 2022

Today, cybersecurity represents an essential priority in the implementation of new technologies, especially given the crucial role that they have come to play in our private and professional lives.

FREMONT, CA: Smart Homes, Connected Cars, and Delivery Robots–the digital evolution will continue, necessitating the development of automated and AI-based solutions to address the increasing number of security threats. The threats posed by these attacks are due to several causes, including greater awareness of data privacy issues and increasingly complex and pervasive digital networks. These are the themes that emerge from Cybersecurity Automation research, which was made possible by the company's unique SONAR technology and the assistance of PAC in assessing and forecasting market growth. The research, in particular, forecasts the main market trends in security system automation, based on an examination of industry studies and data from Reply's customers. To understand how new AI solutions are deployed in the continuously shifting landscape of cybersecurity, the data contrasts two separate clusters of countries: the "Europe-5" (Italy, Germany, France, the Netherlands, Belgium) and the "Big-5" (USA, UK, Brazil, China, India). As cyberattacks such as hacking, phishing, ransomware, and malware have become more common and sophisticated, causing businesses billions of euros in losses in terms of profit and brand reputation, hyper-automation techniques have demonstrated how artificial intelligence and machine learning can help. Moreover, these technologies will be required at every step of security, from software to infrastructure to devices to cloud computing. A large portion of the $300 billion in investments that the global cybersecurity market will make over the next five years will go toward automating security measures to improve threat detection and response times in four different segments: application security, endpoint security, data security and protection, and Internet of Things security.

Developers who pioneered the notion of security by design. An adaptive approach to technology design security is now focusing on DevSecOps, a closer collaboration between development and operations teams. The incorporation of security measures throughout the whole application development lifecycle is emphasised in this newer paradigm. Many testing and analysis tools are incorporating AI to improve their accuracy or capabilities, and automating testing at every phase is critical for reducing the number of vulnerabilities in an application. Investments in application security automation in the Europe-5 market are predicted to expand by seven times their current level by 2026, to 669 million euros. The Big-5 market is expected to develop at a similar rate, with investments reaching 3.5 billion euros.

Endpoints, such as desktops, laptops, smartphones, and servers, are vulnerable elements that, if not properly safeguarded, can be used as entry points for cyberattacks. Because the average number of endpoints within an organisation has expanded dramatically in recent years, selecting and implementing effective and comprehensive protection technologies has become critical for survival. Endpoint detection and response (EDR) and Extended detection and response (XDR) are two solutions designed to reduce the time it takes to respond to new security risks by delegating repetitive and tedious operations to software that can handle them more effectively. Over the next few years, investments in these tools are likely to rise in both the Europe-5 and Big-5 sectors, reaching 757 million euros and 3.65 billion euros, respectively. There are also several other incident management tools and systems that may be linked at the corporate level. For example, AI can be used in crucial areas like threat management and incident response in Security Orchestration Automation and Response (SOAR) solutions.