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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Anticipate issues before they arise by utilizing an Azure AI anomaly detection service. This service allows for the seamless integration of time-series anomaly detection features into applications, enabling users to quickly pinpoint problems. The AI Anomaly Detector processes various types of time-series data and intelligently chooses the most effective anomaly detection algorithm tailored to your specific dataset, ensuring superior accuracy. It can identify sudden spikes, drops, deviations from established patterns, and changes in trends using both univariate and multivariate APIs. Users can personalize the service to recognize different levels of anomalies based on their needs. The anomaly detection service can be deployed flexibly, whether in the cloud or at the intelligent edge. With a robust inference engine, the service evaluates your time-series dataset and automatically determines the ideal detection algorithm, enhancing accuracy for your unique context. This automatic detection process removes the necessity for labeled training data, enabling you to save valuable time and concentrate on addressing issues promptly as they arise. By leveraging advanced technology, organizations can enhance their operational efficiency and maintain a proactive approach to problem-solving.

Description

The swift adoption of cloud technology, combined with the intricacies of multi-cloud setups and isolated security teams, results in a significant visibility deficit for numerous organizations. Wraith effectively tackles this issue by delivering exceptional visibility and threat-hunting functionalities that span on-premise, hybrid, and multi-cloud infrastructures. With the incorporation of AI-driven anomaly detection, Wraith becomes an indispensable resource for identifying and mitigating concealed threats, thereby safeguarding cloud environments. Additionally, Wraith offers extensive visibility across various terrains, enabling security teams to oversee assets and activities across multiple Cloud Service Providers (CSPs) using a single toolset. This capability not only fosters a cohesive security framework but also accelerates threat response times in the face of diverse and intricate cloud ecosystems, making it a vital component for modern cybersecurity strategies. Ultimately, organizations can enhance their security measures and respond more effectively to emerging threats.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Microsoft Azure
Amazon Web Services (AWS)
Azure AI Metrics Advisor
Bing
CTM360
Crestwood Cloud
FortiSIEM
Gigamon
Google Cloud Platform
Microsoft Office 2021
Microsoft Security Copilot
Microsoft Sentinel
Rayven
Revenant
Suricata
VMware ESXi
VMware vSphere
Vectra AI
Zeek
groundcover

Integrations

Microsoft Azure
Amazon Web Services (AWS)
Azure AI Metrics Advisor
Bing
CTM360
Crestwood Cloud
FortiSIEM
Gigamon
Google Cloud Platform
Microsoft Office 2021
Microsoft Security Copilot
Microsoft Sentinel
Rayven
Revenant
Suricata
VMware ESXi
VMware vSphere
Vectra AI
Zeek
groundcover

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/products/ai-services/ai-anomaly-detector/

Vendor Details

Company Name

NetCentrics

Founded

1995

Country

United States

Website

netcentrics.com/tech-and-solutions/wraith/

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