Vol. 5 (2) Dec. 2023

Article ID. 13 JHSSR-1227

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Inference on Business Best Practices Affinity Despite Conceptual AI Exposure

Rachel John Robinson

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Abstract:

The background of the study was the experience of the major difficulties that IT compliance professionals face in light of emerging technologies like Artificial Intelligence (AI). For this purpose, an in-depth analysis of the current situation and future focus points are provided by a prime coverage of 1,000 survey respondents who are industry cyber practitioners. One in two businesses with between 1000-5000 workers experienced a security breach in 2022, showing that threat actors are still driven to obtain valuable and sensitive data. In contrast to last year’s 35% and 57%. Firms anticipate spending more effort on risk compliance management in 2023. The chosen methodology for analyzing this topic is a qualitative retrospective casual comparative positivism approach. Through this analysis, the paper aims to determine whether the C-Suite and board are actively addressing the escalating incidents of security breaches. It is widely recognized that businesses are prepared to enhance their risk and compliance management practices in the future. The paper intends to provide conclusive insights into the current handling of risk and compliance, with indications that these areas are often managed independently and in isolation. Further details on these findings will be presented in the paper.

Keywords:

Artificial Intelligence (AI), IT risk, IT compliance, risk compliance

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Citation: Rachel John Robinson (2023). Inference on Business Best Practices Affinity Despite Conceptual AI Exposure. Horizon J. Hum. Soc. Sci. Res. 5 (2), 121–131. https://doi.org/10.37534/bp.jhssr.2023.v5.n2.id1227.p121