Hands-on Learning

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. ...

The Rise of Medusa Ransomware: What Students and Organizations Need to Know Introduction Cybersecurity students and professionals were recently alerted to a growing threat: the Medusa ransomware group is actively targeting Gmail, Outlook, and organizations across multiple critical infrastructure sectors. According to reports from the FBI and private threat intelligence firms, Medusa has evolved into a highly capable ransomware-as-a-service (RaaS) platform that enables affiliates to launch disruptive and damaging attacks. ...