Breakdown of the Trivy GitHub Actions attack, including workflow misconfigurations, token theft, and supply chain exposure.

Abstract: Accurate anomaly detection is crucial for the reliability of microservice systems. However, most existing anomaly detection approaches only detect deviations from the global expected ...

Automation that actually understands your homelab.

Abstract: Anomaly detection in system software traditionally relies on single-modal algorithms that analyze either discrete log events or continuous performance metrics in isolation, potentially ...

face-mask-detection/ ├── dataset/ │ ├── with_mask/ # Training images with masks │ └── without_mask/ # Training images without masks ├── model/ │ ├── mask_detector.h5 # Trained model (generated) │ └── ...

GitHub is adopting AI-based scanning for its Code Security tool to expand vulnerability detections beyond the CodeQL static analysis and cover more languages and frameworks. The developer ...