~/lightning

Lightning Talk: A GNN Based Framework for Kubernetes Security Agents: Threat & Vulnerability...

github:trezbit
slides:none on file

A GNN-based Kubernetes security prototype maps live OpenMetrics into a heterogeneous knowledge graph, ingests MITRE and Microsoft threat mappings, and runs online incremental training on streaming cluster data to detect technique-level behaviors. Implementation uses the DGL graph library and produces models, pipelines and simulated-attack datasets for benchmarking. Experiments find heterogeneous link-prediction weak on current tooling, so the project focuses on incremental learning, dynamic resource-aware features and publishable pipelines for reproducible threat detection.

AI-written summary · about

  1. 0:00GNN-based Kubernetes security intro
  2. 1:30Cloud security threats
  3. 4:11Why GNNs for Kubernetes
  4. 7:41Threat detection with agents
  5. 9:51DGL experimentation & training
  6. 10:53Open-source contributions
  7. 12:17Summary & future
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