
Darlington Chigozie Okeke
Darlington is a cybersecurity researcher with a master's degree in cybersecurity, specializing in malware detection using machine learning. His recent work introduces a heuristic-based ML framework for Trojan detection on Windows, bridging academic insights with real-world cybersecurity applications. He holds CEH and CPT certifications.
Darlington Chigozie Okeke's Sessions
Security Telemetry as a Data Platform: Designing SQL & Fabric Pipelines for ML-Driven Threat DetectiSQLBits 2026
How to model, query, and analyse ML-driven security telemetry using SQL Server and Microsoft Fabric. A deep dive into schemas, aggregations, and analytics patterns for large-scale behavioural detection data.