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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

EmberHound functions as a data discovery platform designed to identify and map sensitive information across various organizational endpoints. It performs scans on Windows, macOS, and Linux devices to uncover personal data, payment card details, and health-related records spread over machines, drives, and email systems. Utilizing an on-device agent, it ensures that raw files remain secure within the network during the scanning process. The platform is adept at recognizing patterns associated with emails, identification numbers, card information, and health data, while also deduplicating results to present more meaningful findings. With confidence scores that help prioritize remediation efforts and risk scores that improve compliance visibility, EmberHound facilitates adherence to regulations such as GDPR, DSAR, and PCI DSS, along with providing role-based access controls and audit trails. Key features encompass local mailbox scanning, optical character recognition (OCR) for documents in image format, AES-256 encryption for data protection, masked previews for sensitive information, and the generation of audit-ready reports in both PDF and CSV formats, supplemented by comprehensive scan history and logs for compliance documentation. Additionally, this platform is designed to streamline data management processes while enhancing organizational security measures.

Description

Mage Sensitive Data Discovery module can help you uncover hidden data locations in your company. You can find data hidden in any type of data store, whether it is structured, unstructured or Big Data. Natural Language Processing and Artificial Intelligence can be used to find data in the most difficult of places. A patented approach to data discovery ensures efficient identification of sensitive data and minimal false positives. You can add data classifications to your existing 70+ data classifications that cover all popular PII/PHI data. A simplified discovery process allows you to schedule sample, full, and even incremental scans.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

Amazon Redshift No 
Apache HBase No 
Apache Spark No 
Azure Databricks No 
Cloudera No 
Google Cloud Build No 
Google Drive No 
Hive No 
Magento No 
Microsoft Dynamics 365 No 
Microsoft SharePoint No 
MongoDB No 
MySQL No 
PostgreSQL No 
SAP HANA No 
SQL Server No 
Salesforce No 
ServiceNow No 
Teradata QueryGrid No 
Zoho CRM No 

Integrations

Amazon Redshift Yes 
Apache HBase Yes 
Apache Spark Yes 
Azure Databricks Yes 
Cloudera Yes 
Google Cloud Build Yes 
Google Drive Yes 
Hive Yes 
Magento Yes 
Microsoft Dynamics 365 Yes 
Microsoft SharePoint Yes 
MongoDB Yes 
MySQL Yes 
PostgreSQL Yes 
SAP HANA Yes 
SQL Server Yes 
Salesforce Yes 
ServiceNow Yes 
Teradata QueryGrid Yes 
Zoho CRM Yes 

Pricing Details

$85/month/user
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

EmberHound

Founded

2026

Country

United Kingdom

Website

www.emberhound.com

Vendor Details

Company Name

Mage Data

Founded

2014

Country

United States

Website

magedata.ai/sensitive-data-discovery-catalog/

Product Features

Product Features

Data Discovery

Contextual Search Yes 
Data Classification Yes 
Data Matching Yes 
False Positives Reduction Yes 
Self Service Data Preparation No 
Sensitive Data Identification Yes 
Visual Analytics No 

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