Maximizing security by integrating OPSEC and AI for enhanced defense strategies

Abstract

Operational Security (OPSEC) is a risk and security management process and approach that first classifies information. There are five steps in OPSEC and the most important step is to identify and analyze potential threats and vulnerabilities. Analyzing threats and vulnerabilities can be done using manual penetration and VAPT where testers simulate real-world attacks the system may face in the future. Moreover, implementing improved machine learning algorithms can detect threats more robustly. By incorporating artificial intelligence with OPSEC, we can mitigate most of these drawbacks. This research identifies four threats; DDoS, Data Breach, Malware, and Phishing and detects them with particular ML/AI models and improves the performance of those models by optimizing. Moreover, this research implemented Explainable-AI (SHAP) in order to easily explain and interpret the models.