• Prathamesh Umesh Jadhav
• Sufiyan Patel

The escalating complexity of cyber threats necessitates integrated security solutions that bridge the critical gap between proactive reconnaissance and reactive Security Operations Center (SOC) response. Traditional tools like Nmap and SIEMs operate in isolation, requiring manual intervention that slows threat detection and exacerbates analyst fatigue. Using a Design Science Research (DSR) methodology, this paper designs and proposes AutoRecon-SOC, a unified framework engineered to automate network reconnaissance, intelligent threat triage, and SOC-oriented alerting. Through a systematic literature review, this study identifies gaps in current security practices, including the disconnect between scanning and alerting. The core design artifact integrates automated Nmap/NSE scanning with a rule-based and ML-informed triage engine to filter and prioritize threats, generating actionable alerts and response playbooks. Grounded in the principles of Security Orchestration, Automation, and Response (SOAR), this research builds and evaluates a practical blueprint for a lightweight, automated security framework. A simulated case study evaluation demonstrates the artifact's efficacy, showing potential for significantly reduced response times, mitigated alert fatigue, and an enhanced overall security posture for small to mid-sized organizations.

"AutoRecon-Soc: Design and Implementation of an Automated Reconnaissance and Soc-Oriented Threat Alerting Framework", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 9, page no.b178-b181, September-2025, Available :http://www.jetir.org/papers/JETIR2509125.pdf

"AutoRecon-Soc: Design and Implementation of an Automated Reconnaissance and Soc-Oriented Threat Alerting Framework", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 9, page no. ppb178-b181, September-2025, Available at : http://www.jetir.org/papers/JETIR2509125.pdf