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What is HushHush Data Masking?

Contemporary businesses face significant consequences if they neglect to adhere to the increasing privacy regulations mandated by both authorities and the public. To maintain a competitive edge, companies must consistently implement cutting-edge algorithms designed to protect sensitive data, including Personally Identifiable Information (PII) and Protected Health Information (PHI). HushHush is at the forefront of privacy protection with its innovative tool for discovering and anonymizing PII data, known for terms like data de-identification, data masking, and obfuscation software. This solution aids organizations in identifying, categorizing, and anonymizing sensitive information, ensuring they meet compliance requirements for regulations such as GDPR, CCPA, HIPAA/HITECH, and GLBA. It provides a collection of rule-based atomic add-on components that enable users to create effective and secure data anonymization strategies. HushHush's offerings are pre-configured to efficiently anonymize both direct identifiers, including Social Security Numbers and credit card details, as well as indirect identifiers, using a set of fixed algorithms specifically designed for this task. With its multifaceted capabilities, HushHush not only bolsters data security but also strengthens clients' confidence in their privacy. Moreover, this commitment to privacy protection is essential for building long-lasting relationships in an increasingly data-conscious world.

What is Anonos Data Embassy?

After ten years of committed research and innovation, Anonos launched Data Embassy to showcase the possibility of accessing and using data with an unmatched degree of detail and accuracy. By addressing the shortcomings of current data privacy and security measures, we empower organizations to tap into sensitive information for their data-driven initiatives while upholding regulatory compliance. The Data Embassy functions by transforming original data into Variant Twins, which are non-identifiable yet entirely precise data entities crafted for designated, authorized applications. With robust privacy and security protocols embedded directly into the data and reinforced through advanced technology, Variant Twins can traverse freely, even across international borders, guaranteeing that data is both secure and readily available. This groundbreaking methodology not only allows businesses to unlock the full potential of their data but also ensures the ongoing protection of individuals' privacy. Moreover, the versatility of Variant Twins opens up new opportunities for collaboration and innovation across various sectors.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

Windows

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

HushHush

Date Founded

2013

Company Location

United States

Company Website

mask-me.net

Company Facts

Organization Name

Anonos

Date Founded

2012

Company Location

United States

Company Website

www.anonos.com/products/data-embassy

Categories and Features

Compliance

Audit Management
Compliance Tracking
HIPAA Compliance
Risk Management
Workflow / Process Automation

Data Anonymization

Not specified

Data Masking

Not specified

Data Security

Not specified

GDPR Compliance

Access Control
Data Mapping
Risk Management
Sensitive Data Identification

HIPAA Compliance

Access Control / Permissions
Compliance Reporting
Data Security
Documentation Management
For Healthcare
Risk Management

Categories and Features

GDPR Compliance

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

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