Çagatay Ates

M-GRAD: Fusing Heterogeneous Logs into AI-Driven Graphs for Anomaly Detection and IP Risk Analysis

Enterprise security demands actionable threat prioritization across heterogeneous environments. To address the limitations of siloed log analysis, we propose a multi-source, graph-based anomaly detection framework. First, our architecture seamlessly fuses network telemetry from Vectra, Security Information and Event Ma...