Informatica Persistent Data MaskingInformatica
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TrueZero TokenizationSpring Labs
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Related Products
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About
Retain context, form, and integrity while preserving privacy. Enhance data protection by de-sensitizing and de-identifying sensitive data, and pseudonymize data for privacy compliance and analytics. Obscured data retains context and referential integrity remain consistent, so the masked data can be used in testing, analytics, or support environments. As a highly scalable, high-performance data masking solution, Informatica Persistent Data Masking shields confidential data—such as credit card numbers, addresses, and phone numbers—from unintended exposure by creating realistic, de-identified data that can be shared safely internally or externally. It also allows you to reduce the risk of data breaches in nonproduction environments, produce higher-quality test data and streamline development projects, and ensure compliance with data-privacy mandates and regulations.
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About
TrueZero’s vaultless data privacy API replaces sensitive PII with tokens allowing you to easily reduce the impact of data breaches, share data more freely and securely, and minimize compliance overhead. Our tokenization solutions are leveraged by leading financial institutions. Wherever PII is stored, and however it is used, TrueZero Tokenization replaces and protects your data. More securely authenticate users, validate their information, and enrich their profiles without ever revealing sensitive data (e.g. SSN) to partners, other internal teams, or third-party services. TrueZero minimizes your in-scope environments, speeding up your time to comply by months and saving you potentially millions in build/partner costs. Data breaches cost $164 per breached record, tokenize PII & protect your business from data loss penalties and loss of brand reputation. Store tokens and run analytics in the same way you would with raw data.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Enterprises looking for a data security and privacy solution for testing, Hadoop, outsourcing, and collaboration
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Audience
Financial institutions in need of a solution to prevent data breaches and minimize compliance overhead
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Company InformationInformatica
Founded: 1993
United States
www.informatica.com/products/data-security/data-masking/persistent-data-masking.html
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Company InformationSpring Labs
United States
springlabs.com/truezero-tokenization/
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Categories |
Categories |
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Integrations
AWS IoT SiteWise
Supported
Accenture Cloud Trade Promotion Management
Supported
Amazon Web Services (AWS)
Supported
AssetMetrics
Supported
CalendarAnything
Supported
Databricks
Supported
Decimal
Supported
Eviden MDR Service
Supported
Google Cloud Platform
Supported
HCL Accelerate
Supported
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Integrations
AWS IoT SiteWise
Not Supported
Accenture Cloud Trade Promotion Management
Not Supported
Amazon Web Services (AWS)
Not Supported
AssetMetrics
Not Supported
CalendarAnything
Not Supported
Databricks
Not Supported
Decimal
Not Supported
Eviden MDR Service
Not Supported
Google Cloud Platform
Not Supported
HCL Accelerate
Not Supported
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