Timely detection of anomalies ... adversarial training into the graph autoencoder framework imposes regularization on the latent space, improving the distinction between normal and abnormal data ...

The artificial intelligence observability market is experiencing explosive growth, projected to reach $10.7 billion by 2033 ...

This scenario accentuates the necessity for deploying effective anomaly detection (AD) mechanisms to protect these critical infrastructures against the devastating impacts of cyberattacks. Traditional ...

The pipeline preprocesses raw data, extracts meaningful features, and applies machine learning models for anomaly detection. The primary algorithm used is the Isolation Forest, which is well-suited ...