Next-Generation Security Operations: Leveraging Automation for Proactive Threat Mitigation

ABSTRACT As cybersecurity threats evolve, traditional Security Operations Centers (SOCs) face challenges such as alert overload, manual processes, and delayed incident response. The proposed method is automated SOC solution leveraging open-source technologies to enhance threat detection, streamline investigation processes, and enable proactive threat mitigation. The approach integrates comprehensive threat monitoring, a collaborative case management system, and an automation framework for security response actions. By implementing predefined processes and responsive capabilities, the solution empowers SOCs to automatically execute predetermined actions based on detected threats. The proposed architecture is scalable and adaptable, allowing organizations to tailor the SOC to their specific needs while benefiting from open-source tools and automation. By automating repetitive tasks and facilitating rapid response, the solution aims to reduce analyst workload, minimize human error, and enhance overall security posture. The proposed method involves implementing and evaluating the integrated solution in a simulated environment, assessing its performance in detecting and mitigating various cyber threats compared to traditional manual approaches. Potential challenges and limitations are also discussed, paving the way for future enhancements. Keywords: Security Operations Center (SOC), Security Information and Event Management (SIEM), Security Orchestration Automation and Response (SOAR), Threat Detection

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-04-25
DOI
https://doi.org/10.55041/ijsrem43432
Primary Topic
Advanced Malware Detection Techniques
Type
article
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article

Next-Generation Security Operations: Leveraging Automation for Proactive Threat Mitigation

Krishan Kumar
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Advanced Malware Detection Techniques
article

Next-Generation Security Operations: Leveraging Automation for Proactive Threat Mitigation

Krishan Kumar
article en

Abstract

ABSTRACT As cybersecurity threats evolve, traditional Security Operations Centers (SOCs) face challenges such as alert overload, manual processes, and delayed incident response. The proposed method is automated SOC solution leveraging open-source technologies to enhance threat detection, streamline investigation processes, and enable proactive threat mitigation. The approach integrates comprehensive threat monitoring, a collaborative case management system, and an automation framework for security response actions. By implementing predefined processes and responsive capabilities, the solution empowers SOCs to automatically execute predetermined actions based on detected threats. The proposed architecture is scalable and adaptable, allowing organizations to tailor the SOC to their specific needs while benefiting from open-source tools and automation. By automating repetitive tasks and facilitating rapid response, the solution aims to reduce analyst workload, minimize human error, and enhance overall security posture. The proposed method involves implementing and evaluating the integrated solution in a simulated environment, assessing its performance in detecting and mitigating various cyber threats compared to traditional manual approaches. Potential challenges and limitations are also discussed, paving the way for future enhancements. Keywords: Security Operations Center (SOC), Security Information and Event Management (SIEM), Security Orchestration Automation and Response (SOAR), Threat Detection

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(04)
Openalex Percentile: Top 91%
Advanced Malware Detection Techniques
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Next-Generation Security Operations: Leveraging Automation for Proactive Threat Mitigation — Krishan Kumar · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) | TGRS Research Map | TGRS