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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 CipherTrust Tokenization?

CipherTrust Tokenization greatly reduces the costs and effort required to comply with security policies and regulations like PCI DSS, while also offering a straightforward method for protecting other sensitive information such as personally identifiable information (PII). While the market lacks universally accepted standards for tokenization, most solutions can be divided into two primary types: vaultless and vaulted tokenization, both designed to secure and anonymize sensitive data effectively. This tokenization software can be implemented across various environments, including traditional data centers, expansive big data infrastructures, or cloud services. By adopting tokenization, businesses can remove cardholder data from the PCI DSS compliance scope with minimal investment and effort, resulting in substantial savings on compliance-related costs. In the current landscape of IT infrastructures, ensuring the safe management of PII is paramount. With CipherTrust tokenization, organizations can protect PII efficiently, avoiding the typical complexities of encryption key management that often challenge software developers, thus optimizing data security workflows. This cutting-edge approach not only simplifies the compliance process but also bolsters overall data governance strategies, ultimately promoting a more secure handling of sensitive information. Moreover, it allows organizations to focus on their core business operations while maintaining high standards of data security.

Media

Media

Integrations Supported

Integrations Supported

.NET
Apache Cassandra
Azure Marketplace
CipherTrust Data Security Platform
Google Cloud Platform
Java
Microsoft Hyper-V
MySQL
Oracle Database
SQL Server

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

Thales Cloud Security

Company Location

United States

Company Website

cpl.thalesgroup.com/encryption/tokenization

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

Data Tokenization

Not specified

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