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What is TrueZero Tokenization?

TrueZero presents an innovative data privacy API that eliminates the need for vaults by replacing sensitive personally identifiable information (PII) with tokens, which helps organizations mitigate the impact of data breaches, promote safer data exchange, and alleviate compliance challenges. Our advanced tokenization technology is trusted by leading financial institutions, ensuring that sensitive PII remains secure regardless of its application. This process enables enhanced security for user authentication, data validation, and profile improvements without exposing delicate information like Social Security Numbers to partners, internal teams, or third-party services. By reducing the number of environments that necessitate compliance, TrueZero can significantly shorten your compliance timelines, potentially leading to substantial savings in development and partnership costs. With the average data breach costing $164 for each compromised record, implementing PII tokenization is essential for protecting your organization from the repercussions of data loss and safeguarding your brand's reputation. You can manage tokens and conduct analytics just like with original data, maintaining both operational effectiveness and security. In an increasingly data-centric landscape, this strategy not only bolsters privacy but also cultivates trust among clients and stakeholders, reinforcing the importance of secure data management. Ultimately, TrueZero empowers organizations to navigate the complexities of data privacy while enhancing their overall operational resilience.

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

Java
JavaScript
Python

Integrations Supported

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

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Spring Labs

Company Location

United States

Company Website

springlabs.com/truezero-tokenization/

Company Facts

Organization Name

Thales Cloud Security

Company Location

United States

Company Website

cpl.thalesgroup.com/encryption/tokenization

Categories and Features

Categories and Features

Data Tokenization

Not specified

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