Date of Publication :8th September 2024

Abstract:Objectives: AI can be used to identify vulnerabilities in computer systems and provide better security solutions. Machine learning algorithms can be used to analyze application source code and identify potential security vulnerabilities. This can help eliminate these vulnerabilities before they are exploited by cyber attackers. Overall, the collaboration between AI and cybersecurity can lead to greater protection of users' personal data and integrity. This can help prevent cyber-attacks and reduce their impact on users and computer systems. Proposals and methodology: People's daily lives are being impacted by artificial intelligence more and more, and digital modelling is one area where it is especially significant due to its automatic decision-making capabilities. The beneficial results of this unpredictable technology are great, but so are the concerns they raise. Thus, it is useful to highlight the role of cybersecurity in creating a reliable competitive AI, as well as in achieving a trust-inducing AI. While it is possible to modify AI techniques and systems to produce desired results, it is important to keep in mind that applying AI security can have unexpected consequences. Results and implications: Artificial intelligence affects people's daily lives and plays a crucial role in digital transformation through its automated decision-making capabilities. Both the advantages and the drawbacks of this new technology are substantial. Therefore, it's important to emphasize how important cyber security is to achieve the legitimacy and integration of a reliable AI. We must be conscious of the fact that the technological potential of AI systems might produce unfavourable outcomes and can be altered to distort our expectations when thinking about the security of the system that may be impacted by AI. While this is undoubtedly fortunate, we shouldn't ignore the fact that artificial intelligence (AI) and its applications, such as automated decision-making or algorithms created through AI, can impose new and occasionally completely unforeseen risks on people or organizations. AI can also introduce new attack techniques and opportunities for data protection. This is especially true for safety-critical deployments like autonomous vehicles, intelligent production or manufacturing, eHealth, etc.

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