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Average Ratings 0 Ratings

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ease
features
design
support

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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

Screenshots View All

Integrations

Emacs
Sublime Text
Vim
Visual Studio Code

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

Product Features

Product Features

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