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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
Hound serves as a remarkably swift engine for searching source code. Its foundation is derived from an article and accompanying code by Russ Cox, which discusses regular expression matching utilizing a trigram index. The application itself features a static React frontend that communicates with a Go backend. This backend is responsible for maintaining an up-to-date index for every repository and processes searches via a streamlined API. Although Hound has primarily been tested on MacOS and CentOS, it is designed to operate on any Unix-like system. While Hound does not officially support Windows, reports indicate that it compiles and functions adequately; however, it is advisable to exclude your data folder from the Windows Search Indexer for optimal performance. Users have expressed enthusiasm for its capabilities, and developers are continually working on enhancing its compatibility across various platforms.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Emacs
Sublime Text
Vim
Visual Studio Code
Pricing Details
$85/month/user
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
EmberHound
Founded
2026
Country
United Kingdom
Website
www.emberhound.com
Vendor Details
Company Name
Etsy
Website
github.com/hound-search/hound