Anomaly Detection / Deviation Monitoring
Anomaly Detection
Detecting suspicious patterns and deviations in real time
Description
AI learns the system's normal behavior and instantly spots deviations: suspicious transactions, atypical metrics, or anomalous spikes. The system can operate in real time and alerts about issues before they lead to consequences.
Typical Tasks
- Fraudulent transaction detection in financial systems
- Equipment metrics monitoring and early failure detection
- Anomalous user behavior detection
- Product quality control on production lines
- Network traffic monitoring and cyberattack detection
Technologies
Isolation Forest
Autoencoder
DBSCAN
PyTorch
Scikit-learn
Kafka
Grafana
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