You can detect log anomalies 2.7% more accurately than existing methods while completely skipping decompression—just analyze the compressed bytes directly using a purpose-built deep learning model.
CLAD detects anomalies in system logs by analyzing compressed byte streams directly, without decompressing them first. It uses a specialized neural architecture that recognizes how normal logs compress into predictable patterns while anomalies create irregular ones, achieving 99% accuracy while eliminating expensive preprocessing steps.