Continuously scans for anomalies in transaction data.

Continuously Scans for Anomalies in Transaction Data

SentinelAI maintains a vigilant eye on all transaction data to detect and respond to anomalies that may indicate security threats.

Real-Time Data Analysis

• High-Frequency Monitoring:

  • Processes transaction data in real-time, allowing for immediate detection of suspicious activities.

• Machine Learning Algorithms:

  • Employs advanced algorithms capable of identifying subtle patterns that may escape traditional detection methods.

Anomaly Detection Techniques

• Statistical Methods:

  • Uses statistical models to define normal transaction behavior and identify deviations.

• Behavioral Profiling:

  • Builds profiles of typical user and system behaviors to spot irregularities.

• Network Traffic Analysis:

  • Monitors network flows to detect Distributed Denial of Service (DDoS) attacks or other malicious network activities.