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ease
features
design
support

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Write a Review

Description

CipherTrust Tokenization significantly lessens the expenses and labor involved in adhering to security policies and regulatory requirements such as PCI DSS, while also providing an easy way to safeguard other sensitive information like personally identifiable information (PII). Although there are no universally accepted tokenization standards in the market, the majority of tokenization solutions can be categorized into two main architectures: vaultless and vaulted tokenization, both of which effectively secure and anonymize sensitive data assets. Tokenization software can be deployed in various environments, including data centers, big data setups, or cloud platforms. By utilizing tokenization, organizations can effectively eliminate cardholder data from PCI DSS scope with minimal investment and effort, leading to significant savings on compliance-related expenses. In today's modern IT frameworks, it is crucial to manage and protect PII securely. With CipherTrust tokenization, organizations can ensure the protection of PII without the complexities of encryption key management that typically burden software developers, thus streamlining data security processes. This innovative approach not only simplifies compliance but also enhances overall data governance strategies.

Description

Privacy engineering is a growing discipline that overlaps with various fields, including data engineering, information security, software development, and privacy law. The primary objective of this field is to ensure that personal data is managed and handled in a manner that complies with legal standards while also safeguarding the privacy of individuals to the greatest extent possible. While security engineering serves as both a foundational element of privacy engineering and a standalone area of expertise, its main focus is on ensuring the secure management and storage of sensitive data broadly. Organizations that handle sensitive or personal data, or both, must prioritize privacy and security engineering practices. This necessity becomes even more critical for those engaged in their own data engineering or data science activities, as the complexities of data management grow. Ultimately, integrating these principles is vital for building trust and maintaining compliance in today's data-driven landscape.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

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

Integrations

.NET No 
Apache Cassandra No 
Azure Marketplace No 
CipherTrust Data Security Platform No 
Google Cloud Platform No 
Java No 
Microsoft Hyper-V No 
MySQL No 
Oracle Database No 
SQL Server No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Thales Cloud Security

Country

United States

Website

cpl.thalesgroup.com/encryption/tokenization

Vendor Details

Company Name

Kodex

Website

heykodex.com

Product Features

Data Privacy Management

Access Control No 
CCPA Compliance No 
Consent Management No 
Data Mapping No 
GDPR Compliance No 
Incident Management No 
PIA / DPIA No 
Policy Management No 
Risk Management No 
Sensitive Data Identification No 

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