Anomaly detection solutions use machine learning to identify unusual patterns or behaviors in data. These systems are useful in areas like fraud detection and equipment failure prediction.

• Early detection of fraudulent activities in financial transactions.
• Real-time monitoring of industrial systems for equipment failures.
• Reduced operational downtime by identifying anomalies in processes.
• Enhanced security through early detection of potential threats.
• Improved compliance with regulatory standards through anomaly monitoring.
• Better resource allocation by identifying inefficiencies.