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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

We excel in Data Quality and Machine Learning Model solutions tailored for enterprises navigating multi-cloud environments, modern data management, and machine learning ecosystems. Our algorithms are designed to identify Data Anomalies across databases in Azure, GCP, and AWS, enabling you to assess and oversee data challenges from all your cloud database management systems and data silos through a singular, integrated platform. Perceptions of quality can vary significantly among different stakeholders within an organization. Qualdo stands at the forefront of streamlining data quality management issues by presenting them through the perspectives of various enterprise participants, thus offering a cohesive and easily understandable overview. Implement advanced auto-resolution algorithms to identify and address critical data challenges effectively. Additionally, leverage comprehensive reports and notifications to ensure your enterprise meets regulatory compliance standards while enhancing overall data integrity. Furthermore, our innovative solutions adapt to evolving data landscapes, ensuring you stay ahead in maintaining high-quality data standards.

Description

ITSEC's VPN Beholder is a specialized VPN monitoring tool that delivers extensive insight into VPN traffic, facilitating immediate detection of anomalies and alerts for cybersecurity professionals. It conducts in-depth analysis of VPN logs and can interface with Security Information and Event Management (SIEM) systems to uncover potential compromises related to Active Directory accounts, misuse of shared VPN accounts, unauthorized connections from devices, and any unusual activities. The software features real-time chat and email alerts, ensuring that cybersecurity teams receive timely notifications about potentially dubious actions. By automating the scrutiny of VPN log data, VPN Beholder alleviates the burden on cybersecurity teams, allowing them to concentrate on other critical tasks. Developed through a collaboration between ITSEC engineers and security experts, VPN Beholder aims to bolster the security framework of organizations by offering a complete overview of VPN traffic. In addition, its user-friendly interface and robust functionality make it an essential asset for maintaining cybersecurity vigilance.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Active Directory
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure

Integrations

Active Directory
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure

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

Qualdo

Country

United States

Website

www.qualdo.ai/

Vendor Details

Company Name

ITSEC

Founded

2010

Country

Indonesia

Website

itsec.asia/product/vpn-monitoring

Product Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Product Features

Network Monitoring

Bandwidth Monitoring
Baseline Manager
Diagnostic Tools
IP Address Monitoring
Internet Usage Monitoring
Real Time Analytics
Resource Management
SLA Monitoring
Server Monitoring
Uptime Monitoring
Web Traffic Reporting

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