Organizations invest heavily in defenses, but breaches still happen regularly. The challenge isn't just detecting threats—it's understanding how attacks unfold over time.
KillChainGraph is a framework that attempts to predict attack sequences using machine learning. Rather than just flagging individual suspicious events, it maps how an attack might progress through different stages—from initial access to potential data theft or system compromise.
It uses ensemble learning, which basically means combining multiple models to hopefully get better predictions than you'd get from just one.
Please also see our research paper for more information.
Understanding how attacks unfold over time is the key challenge.
Author's summary: AI predicts cyber attack sequences.