Jul 2026· International Journal of Computational Innovations, Intelligent Systems and AI· 0 citations· 34 references
TL;DR
A cybersecurity architecture oriented toward fraud prevention in a service sector company in Lima, Peru, whose design is grounded in the documentary analysis of 385 technical incident records is proposed, forming a defense-in-depth capable of reducing residual exposure and sustaining a robust anti-fraud response in digitalized administrative environments.
Abstract
As service organizations advance in their digital modernization, security does not always keep pace, generating vulnerabilities that conventional protection schemes fail to address. To tackle this problem, the present work proposes a cybersecurity architecture oriented toward fraud prevention in a service sector company in Lima, Peru, whose design is grounded in the documentary analysis of 385 technical incident records. This analysis revealed that only 54.3% of vulnerabilities were addressed annually, with monthly fluctuations between 44.4% and 62.5%, while the effective response rate did not exceed 34%, reaching lows of 19% during periods of peak operational load. These findings, combined with the concentration of unresolved incidents in malware, unknown threats, and ransomware, expose structural failures in the prioritization and closure of security events. In response to this diagnosis, the proposed architecture integrates identity and access management, advanced threat protection, cloud security, regulatory compliance, and extended analytics powered by artificial intelligence, forming a defense-in-depth capable of reducing residual exposure and sustaining a robust anti-fraud response in digitalized administrative environments.
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