Soflab G.A.L.L.

Soflab G.A.L.L.

Soflab Technology Sp. z o.o.
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About

De-identify sensitive data, including personally identifiable information (PII), through pseudonymization and anonymization for secondary use or analysis, such as comparative effectiveness studies, policy assessment, and life sciences research. This is critical as organizations gather and compile large amounts of business data to understand trends, gain insights into customer preferences, and develop new innovations. Regulations such as HIPAA and GDPR require that data be de-identified, but the challenge is that many de-identification tools focus on eliminating personal identifiers, but make it difficult to use the data. Transform PII into data that cannot be used to identify data while ensuring privacy using data anonymization and pseudonymization techniques. This allows you to effectively analyze large amounts of data without violating privacy regulations. De-identify data using selected methods and privacy models from broad areas of data de-identification and statistics.

About

The Soflab G.A.L.L. application is designed to anonymize sensitive data in non-production environments, enabling the generation of high-quality synthetic data that remains consistent with real data and supports reliable testing. At the same time, it ensures full protection of sensitive information, effectively preventing data leaks. Reduced data breach risk by replacing real data with artificial equivalents and detecting sensitive or erroneous records. Lower legal and financial exposure while protecting customer transactional data. Unified anonymization across non-production systems ensures a consistent data model and preserved production relationships. Synthetic data, generated from key production attributes, maintains statistical consistency for BI and AI. A central test data repository enables controlled reuse, lowers maintenance costs, accelerates deployments (up to 5 days), and supports simulation and reusable scenarios.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprises and security teams in search of a tool to de-identify data for analysis and secondary use

Audience

All which have to deal with anonymization sensitive data in non-production environments and to ensure full protection of sensitive information by preventing data leaks.

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Fasoo
United States
en.fasoo.com/products/analyticdid/

Company Information

Soflab Technology Sp. z o.o.
Founded: 2008
Poland
soflab.pl/en/

Alternatives

Alternatives

PK Privacy

PK Privacy

PKWARE
Subsalt

Subsalt

Subsalt Inc.

Categories

Categories

Integrations

No info available.

Integrations

No info available.
Claim AnalyticDiD and update features and information
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