Security in Information Systems with Artificial Intelligence: Development of AI - based threat detection systems to protect information integrity

Abstract: This investigation aims to evaluate the progress in artificial intelligence (AI) threat detection systems, to strengthen information-system security, which has been achieved by guaranteeing integrity, confidentiality, and availability of information. The results further highlight the use of AI to proactively detect and mitigate unseen attacks before they cause any real damage. Using a qualitative methodology as an investigatory framework, this research reflects an interpretative fine-tooth analysis of the literature to provide evaluation of how AI has been used in prevention and containment. The study also discusses different AI methodologies like machine learning, deep learning, neural networks and how they provide a boost in threat detection. A literature review provides a critical examination and analysis of former studies, highlighting patterns, trends, and new methodologies that underscore the ongoing maturation and intricacy of Internet related threats balancing cybercrime AI countermeasures.High-level takeaways from the results Here are some of the chief findings about how AI can protect your network: General adaptation: When attacking patterns shift away from traditional deterministic rules detection, cyberthreats remain hidden from the human eye. The report also explores the use and implementation of AI along with other security systems including encryption and blockchain to establish multiple defence layers. The integration noticeably enhances the resilience of information systems, making them stronger against APTs and Zero-day attacks.It also focuses attention on the wealth of qualitative data with which to explore more nuanced aspects of information security. This complete view helps to bring further clarity to both the issues and potential of AI-driven security solutions. These results underscore the importance of addressing how to use AI as a critical component in building successful digital security information protection strategies and should argue for its wider implementation throughout industries. The research concludes by recommending further exploration of AI’s role in predictive analytics and automated incident response, areas where its potential remains underutilized

Keywords: computer security, artificial intelligence, threat detection, information systems, and confidentiality.

DOI: 10.54941/ahfe1005924

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