Artificial intelligence in information security: impact on organisational decision-making
DOI:
https://doi.org/10.47989/ir31262219Keywords:
Artificial Intelligence (AI), Cybersecurity, risk perception, decision-making, organizationsAbstract
Introduction. This study investigates the impact of Artificial Intelligence (AI) on information security and organisational decision-making processes. In the face of the growth of cyber threats and the complexity of digital ecosystems, AI emerges as a resource to strengthen the resilience and effectiveness of defence mechanisms.
Method. Integrative literature review (Scopus, IEEE Xplore, ScienceDirect and SpringerLink) were complemented by technical reports and case studies on the application of AI in Cybersecurity.
Analysis. It focused on three dimensions: operational efficiency, strategic decision support, and human and ethical factors. Benefits, limitations, algorithmic risks, and adoption challenges were examined.
Results. AI improves anomaly detection, reduces response time, decreases false positives, and supports risk-based strategic decisions. However, challenges, , such as explainability, trust, accountability, and governance, remain.
Discussion. AI reconfigures decision-making architecture, requiring symbiotic integration between technology, human oversight, and ethical policies.
Conclusion. AI strengthens information security and improves organisational decision-making. However, the optimization of its impact is conditional on the implementation of ethical governance, transparency, and continuous training.
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