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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

R&S®Trusted Gate – Secure Data Exchange facilitates the secure transfer of sensitive information among authorized collaborators. The system ensures that data is automatically encrypted and can be efficiently synchronized from a private network to all prominent online file sharing platforms. Customers have the flexibility to establish their own deployment protocols, encryption methods, and authentication processes without depending on external service providers. This guarantees that no sensitive information will be exposed to any cloud storage entity or sharing service. Sharing data through R&S®Trusted Gate, Secure Data Exchange is designed to be both straightforward and effective. Users can specify which internal network folders should be accessible to external partners, and once files are placed in these designated folders, R&S®Trusted Gate promptly begins synchronizing the confidential data to the specified external destinations. The encryption of data occurs automatically, ensuring maximum security. This solution supports a wide range of use cases, extending beyond merely office document types to include scenarios such as server migrations and backups, thus providing a versatile approach to data security. Additionally, the ease of use and adaptability of this system make it an ideal choice for organizations seeking to safeguard their sensitive information seamlessly.

Description

It addresses the needs for data compliance and safeguards against data loss for both businesses and individuals, targeting files that are distributed across various hard drives. It operates seamlessly on local drives, shared drives, and cloud storage options. With the introduction of Confidential 1.2.31, we have integrated regular expression-based searches with content searches from Confidential 1.2, allowing you to command Confidential to "scan my disks and automatically label any data resembling a credit card number, email address, invoice number, names from a specific list, or any other pattern defined by a regular expression." This capability can significantly aid in achieving GDPR compliance for unstructured data; once you've removed customer information from your databases, this tool will assist in locating any remnants of your customers' data across all files stored on your local and shared drives, making it an invaluable asset for data management. Additionally, the enhanced search functionality ensures that no sensitive information slips through the cracks, fortifying your organization’s commitment to data privacy and protection.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure Marketplace

Integrations

Azure Marketplace

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$40.00/year/user
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

Rohde & Schwarz Cybersecurity

Founded

1933

Country

Germany

Website

www.rohde-schwarz.com/products/cybersecurity/secure-data-exchange/rs-trusted-gate-secure-data-exchange_63493-985600.html

Vendor Details

Company Name

Tag Forge

Founded

2009

Country

Denmark

Website

www.confidential.tech/

Product Features

Cybersecurity

AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting

Product Features

GDPR Compliance

Access Control
Consent Management
Data Mapping
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification

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