The role of AI and Big Data in Cybersecurity

Fusionex Datuk Seri Ivan Teh

Advances in Artificial Intelligence and Big Data are revolutionizing the way organizations protect their data and systems. Although these technologies are still in the development, research, and user feedback stages, their potential and scope make them very valuable tools for the cybersecurity sector.

Therefore, in today’s article, we will explore the main applications of AI and Big Data in organizational digital security, their benefits, and the challenges we face in the future.

Main contributions of AI and Big Data to cybersecurity

AI and Big Data are tools that are not limited to a specific area of ​​cybersecurity. Their scope is broad and varied, and they can be used to prevent, raise awareness, train, provide knowledge and improvements in the sector, etc. They are technologies related to transversal solutions, not just with a team within cybersecurity.

Its main advantage is the possibility of validating multiple sources of information and contrasting the results obtained, guaranteeing greater precision in identifying vulnerabilities, making decisions, and taking action. In addition, it allows different tools to be concatenated to implement more effective solutions within the team.

The quality of the data and the environment in which these tools are used will determine how well they work. This makes the response we receive much more accurate, relevant, and precise.

 AI and Big Data in cybersecurity projects

Big Data and AI are no longer limited to being used only in the execution of a cybersecurity project but are being used more widely in the inception phase.

Thanks to these tools, you can obtain a complete view of an organization’s spectrum of vulnerabilities, thus obtaining a detailed photograph of its security needs. In addition, these technologies allow you to evaluate the effectiveness of the implemented solution, whether you are on the right track, or whether adjustments are necessary.

New avenues for digital security

Traditionally, Big Data has been associated with defensive security. However, new ways have now been discovered that also allow the identification of trends and patterns of attacks in an organization. This allows for better transition and knowledge across cybersecurity teams, contributing to a more effective defense.

Furthermore, with the growing interconnection of the Internet of Things (IoT), it is essential to have an associated security layer so that data and information protection is ensured to the same extent as connectivity with the cloud. Therefore, the combination of AI and Big Data is a crucial tool to guarantee security in an interconnected and increasingly digital environment.

AI, Big Data and data privacy: a challenge for all organizations

The most valuable asset that a user entrusts to us is their information. Therefore, data protection and privacy are crucial in any cybersecurity project.

One way to protect data privacy is to validate who has access to it through an internal system. This will ensure the security of the user’s personal information.

Currently, there are methods, techniques, processes, and methodological frameworks that allow compliance with data privacy policies. In cybersecurity projects, the methodological frameworks of each industry are respected, and obfuscation techniques and secure manipulation of user data are used, always with a view to their protection and privacy. However, it is an area that must be prioritized more than ever today.

 An essential step in the advancement of cybersecurity

In short, the combination of Big Data and Artificial Intelligence is an essential step in the advancement of cybersecurity. Although these technologies are still in the evolving phase, it is essential to be attentive to their development and see how we can continue to take advantage of them in the future.

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