Jul 2026· International Journal of Advanced Research in Science, Communication and Technology· 0 citations
TL;DR
An AI-driven Security Orchestration, Automation and Response (SOAR) platform that involves: secure authentication, central monitoring, machine learning-based anomaly detection, Groq AI-driven incident analysis, threat intelligence enhancement, n8n workflow automation, AI chatbot, and automatic reporting is focused on.
Abstract
Increasing numbers of cyberattacks led to increasing workload for Security Operations Centers (SOCs). SOC analysts are inundated with hundreds and thousands of alerts from SIEM, IDS/IPS, EDR, firewalls, and cloud/endpoint security systems. Manual investigation leads to alert fatigue, slow responses, and inconsistencies. This paper will focus on an AI-driven Security Orchestration, Automation and Response (SOAR) platform that involves: secure authentication, central monitoring, machine learning-based anomaly detection, Groq AI-driven incident analysis, threat intelligence enhancement, n8n workflow automation, AI chatbot, and automatic reporting. The unified platform increases efficiency, drastically reduce human effort to repetitive work, quick incident response times, enhances the quality of investigations, and provides a comprehensive view of an organizations security posture. The platform is also modular to further integrate with cloud security, SIEM, EDR, malware analysis and predictive analyses
In light of the increased cyber-attacks and complex nature of IT infrastructure today, traditional monitoring systems for security have been identified to be slow and ineffective. Security Operation Centers (SOCs) still employ manual log analysis which causes delays in detecting threats and responding to them. In order...
Dharshan Delwin D, Brindha D, Salaja Silas· 2026 7th International Confe...· 0 citations
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 dig...
Enrique Castellares Cuya, José Rengifo Espinal· International Journal of Com...· 0 citations
An Intelligent Security Operations Automation Algorithm (ISOAA) for AI-enabled SOAR is proposed that achieves lower mean time to detect, lower mean time to respond, higher containment success, improved precision and recall, reduced false-positive automation, and lower compliance-breach rate than rule-based SOAR.
Ikenna Mbuko, O. Ijiga, L. Enyejo· International Journal of Eng...· 0 citations
The findings suggest that combining open-source SIEM, workflow automation, and LLM-based reasoning with human supervision offers a practical, low-cost, and reliable approach for strengthening incident response capability in resource-constrained environments.
The Integrated Threat Hunting and Security Orchestration, Automation and Response (SOAR) Automation Workflow (THSAW) is presented highlighting the necessity of shifting from a reactive "alert-driven" posture to a proactive "hunt-driven" methodology to ensure organizational resilience.
A. Amaechi, Ekangwo Hernadez Ebolo, Kum Bertrand Kum et al.· International Journal of Inn...· 0 citations
AEGIES-AUTO demonstrates that effective, autonomous, real-time threat response can be achieved without the overhead normally associated with enterprise-grade security platforms.
Manoj Kumar L. Surya Narayana Reddy B G, M. N. Thejaswini· International Journal of Adv...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.