CipherTrust TokenizationThales Cloud Security
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HushHush Data MaskingHushHush
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Related Products
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About
CipherTrust Tokenization dramatically reduces the cost and effort required to comply with security policies and regulatory mandates like PCI DSS while also making it simple to protect other sensitive data including personally identifiable information (PII). While there are no tokenization standards in the industry, most tokenization solutions fall into one of two architectures: vaultless- or vaulted tokenization Both secure and anonymize sensitive assets. Tokenization software can reside in the data center, big data environments or the cloud. Tokenization can remove card holder data from PCI DSS scope with minimal cost and effort, enabling organizations to save on costs associated with compliance with the industry standard. Modern IT architectures require both use and protection of personally identifiable information (PII). With CipherTrust tokenization, PII protection is gained without encryption key management required by the software developer.
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About
Today’s businesses face significant punishment if they do not meet the ever-increasing privacy requirements of both regulators and the public. Vendors need to keep abreast by adding new algorithms to protect sensitive data such as PII and PHI. HushHush stays at the forefront of privacy protection (Patents: US9886593, US20150324607A1, US10339341) with its PII data discovery and anonymization tool workbench (also known as data de-identification, data masking, and obfuscation software). It helps you find your and your customer's sensitive data, classify it, anonymize it, and comply with GDPR, CCPA, HIPAA / HITECH, and GLBA requirements. Use a collection of rule-based atomic add-on anonymization components to configure comprehensive and secure data anonymization solutions. HushHush components are out-of-the box solutions designed to anonymize both direct identifiers (SSN, credit cards, names, addresses, phone numbers, etc.) as well as indirect identifiers, with both fixed algorithms.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Companies looking for a powerful Data Tokenization platform
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Audience
For establishments that want to de-identify their customers' complex data
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationThales Cloud Security
United States
cpl.thalesgroup.com/encryption/tokenization
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Company InformationHushHush
Founded: 2013
United States
mask-me.net
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Alternatives |
Alternatives |
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Categories |
Categories |
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Compliance Features
Archiving & Retention
Artificial Intelligence (AI)
Audit Management
Compliance Tracking
Controls Testing
Environmental Compliance
FDA Compliance
HIPAA Compliance
Incident Management
ISO Compliance
OSHA Compliance
Risk Management
Sarbanes-Oxley Compliance
Surveys & Feedback
Version Control
Workflow / Process Automation
GDPR Compliance Features
Access Control
Consent Management
Data Mapping
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification
HIPAA Compliance Features
Access Control / Permissions
Audit Management
Compliance Reporting
Data Security
Documentation Management
For Healthcare
Incident Management
Policy Training
Remediation Management
Risk Management
Vendor Management
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Integrations
.NET
Apache Cassandra
Azure Marketplace
CipherTrust Data Security Platform
Google Cloud Platform
Java
Microsoft Hyper-V
MySQL
Oracle Database
SQL Server
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Integrations
.NET
Apache Cassandra
Azure Marketplace
CipherTrust Data Security Platform
Google Cloud Platform
Java
Microsoft Hyper-V
MySQL
Oracle Database
SQL Server
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