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.
Cloud is the essential component for modern computer systems, offering businesses flexible scalability and on-demand resources. However, as attackers use more complex techniques to compromise cloud networks, this technological advancement has ushered in a new era of cybersecurity challenges. Wide-ranging effects, such as data loss, financial penalties, reputational harm, and legal responsibilities, can result from such breaches. In response to these challenges, a strong security framework is essential to effectively protect cloud infrastructure. Recently, several artificial intelligence (AI) techniques have been developed for cyber threat detection. Hence, to get deeper insight into this, the survey aims to analyse the role of cyber threat detection techniques and provide an overview of their applications. To achieve this, around 28 research papers from the years 2023-2026 are reviewed based on their methods, algorithms, datasets, performance metrics, and achievements. Furthermore, this work reviews different types of threats affecting the availability, confidentiality, and integrity of cloud services and resources, and examines the applications, including intrusion detection in cloud and several types of cyber threat detection systems. The core insights formulated in this review provide a comparison of analytics as well as future directions.
Pradnya Patil, J. Bakal· 2026 7th International Confe...· 0 citations
The study argues that, facing the constantly evolving attack patterns driven by intelligent algorithms, network security governance cannot rely solely on static rules and post-incident handling, and should further strengthen the capabilities of real-time threat identification, trusted identity verification, cross-entity collaborative response, and dynamic updates of security policies.
Ai-Hao Luo, Bao-Ze Xu· SHS Web of Conferences· 0 citations
This review's results show that penetration testing is an important part of improving cybersecurity because it helps identify weaknesses before they become problems and reduces risk.
Digital transformation has been a game-changer for financial institutions, driving the bank industry's evolution into a more real-time, cloud-based, mobile, and AI-enabled financial landscape. While all these technological developments have boosted operational efficiency and customer service, they have also created new opportunities for cyber criminals to attack financial organizations with powerful and sophisticated means like ransomware, phishing, insider threats, Advanced Persistent Threats (APTs), Distributed Denial-of-Service (DDoS) attacks, identity theft, and financial fraud. This has given rise to the need for extensive cyber security systems to be a strategic necessity and not a technical necessity. In this paper, the authors explore modern approaches to cybersecurity frameworks for digital financial institutions, reviewing methodologies for assessing risk, governance of security, regulatory compliance, and innovations like Artificial Intelligence, Machine Learning, Blockchain, and Zero Trust Architecture. The study provides an overview of existing cybersecurity frameworks such as the NIST Cybersecurity Framework, ISO/IEC 27001, COBIT and PCI DSS, along with financial regulatory frameworks. In addition, a conceptual framework is suggested for enhancing cyber-resilience based on continuous monitoring, threat intelligence, automated incident response, and adaptive security controls. The findings have shown that the combination of intelligent security solutions and a standardized governance model not only increases the resilience of the organisation, but also reduces cyber risks, facilitates compliance with regulatory requirements and safeguard the trust of customers. The proposed framework offers a scalable and proactive strategy for financial institutions to address the escalating cyber threats in the ever-engaging digital landscape.
Vladimir Glushkov, Victor Glushkov· International Journal of Com...· 0 citations
Some operational and technical challenges that affect the adoption of effective cybersecurity prac-tices within e-government infrastructures are identified and the importance of scalable, cost-effective, and integrated monitoring infrastructures to manage cybersecurity proactively in developing countries are highlighted.
Lukumba Phiri, Steve Muwowo· International Journal of Ele...· 0 citations
The results show that XAI can improve the transparency, trustworthiness and effectiveness of AI-based cybersecurity systems, in addition to highlighting a range of privacy, adversarial robustness, scalability and evaluation challenges that warrant further research to ensure reliable deployment in the real world.
Raman Kumar· International Journal of Adv...· 0 citations
