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Machine-Learning-based Network Intrusion Detection System (NIDS) meant to be used with NetFlow traffic. Given an input flow, this will return the threat type alongside the confidence of the prediction. It is capable of detecting 4 main network traffic classes: Benign, Brute Force, DDoS, and...
Model Package - Fulfilled on Amazon SageMaker
Dig is an agentless multi-cloud data security platform that discovers, classifies and protects sensitive data. Using Dig's data classification engine, you can quickly locate your most critical data and organizational 'crown jewels' in both structured and unstructured data assets. Dig prevents...
DeepInsights Card Fraud Analyzer is a Deep-Learning powered classification solution that provides valuable insights from any data that is highly skewed with relevant class (e.g. fraudulent transactions) being represented by less than 1% of data. The solution works with numerical data and provides...
Model Package - Fulfilled on Amazon SageMaker
The Wizata Platform is a state-of-the-art IIoT application designed to help users improve operation management on all levels. It's a software solution that allows users to improve manufacturing, locate bottlenecks, and make better data-driven business decisions. With the use of advanced AI,...
Botnet Detector is a cutting-edge supervised machine learning model specifically trained on network traffic data to detect botnet activity with unparalleled accuracy. Botnets pose a significant threat to networks worldwide, causing damages worth billions. However, with this solution, you can...
Model Package - Fulfilled on Amazon SageMaker
Data evolves over time, causing a change in the distributions and interpretation. This is known as drift and causes a degradation in ML model performance. The Drift Detector detects changes in the incoming data, and provides useful insights to the user with respect to the data and model behavior....
Model Package - Fulfilled on Amazon SageMaker
This solution takes a deep learning-based approach to learn and understand the patterns in Temperature sensor data. It aims at learning the normal behavior patterns of the sensor data during training process using generative algorithms. Once trained, the model can monitor and identify abnormal...
Algorithm - Fulfilled on Amazon SageMaker
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This algorithm performs time series anomaly detection with the Long Short-Term Memory Network for Anomaly Detection (LSTM-AD). It implements both training and inference from CSV data and supports both CPU and GPU instances. The training and inference Docker images were built by extending the...
Algorithm - Fulfilled on Amazon SageMaker
CyGlass provides a hybrid network defense security cloud. Our hybrid network defense cloud uncovers risks and threats across network, cloud, user, VPN, and IoT threat surfaces. By combining AI, cross-event correlation, threat intelligence, and harmonized policy controls, CyGlass delivers a concise...
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