CANomaly-LSTM – Detecting CAN bus anomalies with deep learning
Purpose-built CAN intrusion detection; unsupervised learning detects zero-day attacks without labeled data.

Nine detection methods run client-side when Power BI requires cloud uploads.
Data analysts and business users working with sensitive spreadsheets
Power BI · Anodot · Tableau
100 % Client Side Architecture , Data never leaves your browser
Purpose-built CAN intrusion detection; unsupervised learning detects zero-day attacks without labeled data.
Replaces Prometheus+Grafana complexity with one container, zero config install.
Physics-based anomaly detection with no training step, but novelty doesn't match execution maturity.
First tool addressing Cursor spend blind spot; anomaly detection catches agent runaway loops.
Immune system anomaly detection beats ML without training data, dependencies, or GPU.
Isolation Forest + K-means clustering detects log anomalies visually, but Datadog and Splunk already ship this.