Fraudulent claims are a major challenge faced by insurance providers. This solution helps insurance providers predict whether a claim is fraudulent or not to support the decision-making process. This solution considers various policy, demographic, and incident details related to the claim to return...
Model Package - Fulfilled on Amazon SageMaker
The implementation of a predictive maintenance system enables the anticipation of a failure or incident in industrial machines by analyzing the data of their operation. Predicting the moment when the equipment might fail allows to: avoid unplanned stoppages, extend production cycles between...
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This algorithm performs time series anomaly detection with a Long Short-Term Memory Network Autoencoder (LSTM-AE). 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 PyTorch 2.1.0...
Algorithm - Fulfilled on Amazon SageMaker
This solution is a deep learning-based approach to learn and understand the patterns in financial transaction data. It aims at learning the normal behavior patterns of the transactions during the training process using a Restricted Boltzmann Machine algorithm. Once trained, the model can identify...
Algorithm - Fulfilled on Amazon SageMaker
Starting from $120.00/hr or from $178,000.00/yr (83% savings) for software + AWS usage fees
EMET malicious user journey analytics powered by Reveal Security is a leading security analytics tool that uses user journey analytics to detect malicious activity for Cloud Apps. This is the "custom-application edition" of the product, supporting Custom-Built (such as customer portal, supplier...
Linux/Unix, Amazon Linux 2 - 64-bit Amazon Machine Image (AMI)
This algorithm is a technique for detecting unusual patterns that differ from common patterns in a data set, and considers individual data points as outliers when they differ significantly from surrounding data. Various machine learning algorithms can find outliers that match the algorithm's...
Algorithm - Fulfilled on Amazon SageMaker
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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
Data evolves over time, causing a change in the distributions and interpretation of data and a corresponding degradation in model performance. The Drift Detector uses an incremental learning method, in which each incoming instance retrains the model. The solution detects drifts in the model output,...
Model Package - Fulfilled on Amazon SageMaker
Anvilogic breaks the SIEM lock-in that drives detection gaps and high costs for enterprise SOCs. It enables detection engineers and threat hunters to keep using their existing SIEM while seamlessly adopting a scalable and cost-effective data lake for high-volume data sources and advanced analytics...
MAD stands for Multivariate Anomaly Detection, which is a technology that learns and monitors normal patterns for time-series data with specific patterns and can detect abnormal patterns that deviate from the normal pattern. Unlike Point Anomaly Detection, it identifies anomaly patterns in the...
Algorithm - Fulfilled on Amazon SageMaker
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