Building an AI-Powered Cybersecurity Risk Matrix: From Logs to Actionable Risk Scores
Building an AI-Powered Cybersecurity Risk Matrix: From Logs to Actionable Risk Scores Introduction Risk matrices are foundational to cybersecurity—helping organizations assess and prioritize threats based on likelihood and impact. But what if we could take that a step further? What if a system could analyze raw security logs, evaluate key attributes of an event, and automatically score risk without needing human triage every time? In this blog, we’ll build a lightweight simulation of an AI-powered risk matrix engine, using basic Python and rule-based logic (you could extend it with machine learning later). This project is perfect for cybersecurity students, professionals, and educators wanting to make risk management concepts more tangible. ...