AI-Driven Cybersecurity for Kazakhstan’s Marketing Data Protection: Threats, Challenges, and Solutions

Abstract

Purpose – The objective of this paper is to examine and analyze the function of AI-driven cybersecurity solutions in safeguarding marketing data in Kazakhstan. As dependence on digital marketing grows, firms see heightened cyber attacks aimed at sensitive information.

Design/methodology/approach – A critical review of the literature is conducted, followed by a discussion of the existing cybersecurity infrastructure for marketing data in Kazakhstan. Analytical research into AI-based technologies and applicability in comparable markets is conducted. Statistical information and expert interviews provide a basis for assessing potential solutions specific to Kazakhstan.

Findings – The research determines that while AI-driven systems provide effective solutions towards finding and preventing cyber attacks, difficulties arise in the form of low consumption rates and unavailability of skilled professionals in AI as well as cybersecurity domains. Moreover, marketing data in Kazakhstan is extremely susceptible to internal and external threats owing to poor security measures.

Research constraints – The study is constrained by the unavailability of localized data on AI-driven cybersecurity solutions applicable to Kazakhstan. Additional empirical research would be required to measure the far-reaching effects of such initiatives.

Originality/value – The article emphasizes the increasing significance of AI in cyber security and provides customized advice for the marketing industry in Kazakhstan, bridging the gap in local research.