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What is Mage Sensitive Data Discovery?

The Mage Sensitive Data Discovery module is designed to reveal concealed data locations within your organization. It enables the detection of hidden information across various data stores, including structured, unstructured, and Big Data environments. Utilizing Natural Language Processing and Artificial Intelligence, this tool is capable of locating data in even the most challenging scenarios. Its patented discovery method guarantees effective identification of sensitive data while keeping false positives to a minimum. You can enhance your data classifications with over 70 existing categories that encompass all widely recognized PII and PHI data types. Furthermore, the module streamlines the discovery process, allowing you to schedule sample scans, complete scans, and incremental scans at your convenience. This versatility ensures that your organization can maintain robust data security measures while efficiently managing data discovery tasks.

What is EmberHound?

EmberHound serves as a comprehensive data discovery platform aimed at detecting and mapping sensitive information across various organizational endpoints. It conducts thorough scans on devices running Windows, macOS, and Linux to reveal sensitive data, including personal information, payment card details, and medical records that may be dispersed across machines, drives, and email systems. By employing an on-device agent, it guarantees that raw files are safeguarded within the network throughout the scanning process. The platform is proficient at identifying specific patterns affiliated with emails, identification numbers, card details, and health data, additionally deduplicating results to ensure that findings are more relevant and actionable. Featuring confidence scores that assist in prioritizing remediation actions and risk scores that enhance compliance visibility, EmberHound supports adherence to regulations such as GDPR, DSAR, and PCI DSS, while offering role-based access controls and maintaining detailed audit trails. Among its key features are local mailbox scanning, optical character recognition (OCR) capabilities for documents in image formats, AES-256 encryption for robust data protection, masked previews for sensitive content, and the ability to generate audit-ready reports in both PDF and CSV formats, accompanied by extensive scan history and logs for compliance documentation. Furthermore, this platform is engineered to optimize data management workflows while bolstering security protocols within organizations, ultimately ensuring a more secure handling of sensitive information.

Media

Media

No images available

Integrations Supported

Amazon Redshift
Amazon S3
Apache Parquet
Azure Databricks
Google Cloud BigQuery
Google Drive
Hadoop
Hemi HL7
Hive
Microsoft Dynamics 365
Microsoft SharePoint
MongoDB
MySQL
OCI Observability
Oracle Cloud Infrastructure
SAP HANA
SQL Server
Teradata QueryGrid
Workday Extend
Zoho CRM

Integrations Supported

Amazon Redshift
Amazon S3
Apache Parquet
Azure Databricks
Google Cloud BigQuery
Google Drive
Hadoop
Hemi HL7
Hive
Microsoft Dynamics 365
Microsoft SharePoint
MongoDB
MySQL
OCI Observability
Oracle Cloud Infrastructure
SAP HANA
SQL Server
Teradata QueryGrid
Workday Extend
Zoho CRM

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$85/month/user
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Mage Data

Date Founded

2014

Company Location

United States

Company Website

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

Company Facts

Organization Name

EmberHound

Date Founded

2026

Company Location

United Kingdom

Company Website

www.emberhound.com

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Categories and Features

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