Python in Threat Intelligence: Analyzing and Mitigating Cyber Threats

This article outlines how Python enables effective threat intelligence by supporting data collection from OSINT and APIs, large-scale analysis with Pandas/NumPy, machine learning–based detection, SIEM integration, IoC processing, visualization, and automation for response, hunting, and monitoring. It illustrates a hypothetical phishing-domain detection workflow and highlights challenges including model accuracy, privacy, computational demands, and integration complexity.