Anomaly detection refers to identifying unusual activity that falls outside of a typical baseline of access or permissions in your cloud. Security is a continuous process, not a destination. Once you’ve ‘cleaned up’ your cloud, Sonrai’s anomaly detection helps you maintain that posture by a...
How Does An Intrusion Detection System Work? What Are Its Uses? IDS solutions excel in monitoring network traffic and detecting anomalous activity. They are placed at strategic locations across a network or on devices themselves to analyze network traffic and recognize signs of a potential attack. ...
Anomaly detection is a more advanced form of network monitoring. Instead of merely looking for known threats, anomaly detection looks for deviations from normal behavior. This can be useful in detecting Cobalt Strike attacks, as the tool often uses stealthy techniques that may not trigger traditional...
Anomaly DetectionDetect fraudulent banking transactions. RecommendationsSuggest products that online shoppers may want to buy, based on their previous purchases. Time series/sequential dataForecast the weather or product sales. Image classificationCategorize pathologies in medical images. ...
This work investigates the changes in detection performance when outliers end up in the training data. For this purpose, the training data is enriched step by step with images of defective objects. The AUROC score and the anomaly score is used as a quality criterion for performance measurement....
The ability to use one API to work across all these different feeds shouldn’t be underestimated, because it makes building appropriate software a lot easier. Normally anomaly detection takes time to set up. You need to train your model against a large amount of data to determine what’s...
How Does Edge AI Work? Edge AI devices use machine learning algorithms to monitor the device’s behavior and collect and process the device data. These algorithms can run directly at the edge of a given network, close to where the data and information needed to run the system are generated...
Natalino Busa
Anomaly detectionDetect fraudulent banking transactions. RecommendationsSuggest products that online shoppers might want to buy, based on their previous purchases. Time series/sequential dataForecast the weather or product sales. Image classificationCategorize pathologies in medical images. ...
Also, we don’t want three predictions, we wantone prediction. Taking the average is not an option, because it will be diluted by our skewed May 1 RPS data. Instead, we want to calculate the median. Prometheus does not have a median query, but we can use a quantile aggregation in lie...