Result: Python-Based Security Operations Center (SOC) and Forensics Analysis for Incident Cyber Threats

The increasing complexity and frequency of cyber threats demand robust solutions for incident detection, analysis, and response. Security Operations Centers (SOCs) play a pivotal role in safeguarding organizational assets by monitoring, detecting, and mitigating cyber threats. This paper presents a Python-based approach for enhancing SOC capabilities and conducting forensics analysis to counter incident cyber threats effectively. Leveraging Python's versatility and extensive libraries, this research proposes a comprehensive framework that integrates various cybersecurity tools and techniques for real-time threat monitoring, incident analysis, and forensic investigation. The proposed solution empowers SOCs to detect and respond to cyber threats promptly while facilitating in-depth forensic examination for post-incident analysis and remediation. Through case studies and evaluations, the effectiveness and efficiency of the Python-based SOC and forensics analysis approach are demonstrated, highlighting its potential to enhance organizational cyber resilience.