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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 Informatica Dynamic Data Masking?

The IT department can adopt sophisticated data masking strategies to limit access to confidential information, employing flexible masking rules that align with user authentication levels. By integrating systems for blocking access, conducting audits, and sending notifications to users, IT personnel, and external partners handling sensitive data, the organization can ensure compliance with its security protocols and relevant legal and industry privacy regulations. Furthermore, data-masking techniques can be customized to accommodate diverse regulatory or business requirements, thereby creating a secure environment for both personal and sensitive information. This strategy not only protects data but also supports initiatives in offshoring, outsourcing, and cloud computing. Moreover, large datasets can be safeguarded by implementing dynamic masking for sensitive information within Hadoop environments, which significantly improves overall data protection. Such proactive measures reinforce the robustness of the organization's data security framework, ultimately building trust among stakeholders. This comprehensive approach ensures that sensitive information remains shielded from unauthorized access while empowering the business to innovate and expand.

Media

Media

Integrations Supported

Hadoop
Java
JavaScript
Python

Integrations Supported

Hadoop
Java
JavaScript
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Spring Labs

Company Location

United States

Company Website

springlabs.com/truezero-tokenization/

Company Facts

Organization Name

Informatica

Company Location

United States

Company Website

www.informatica.com/products/data-security/data-masking/dynamic-data-masking.html

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