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What is ShieldConex?

Implementing tokenization for primary account numbers (PAN) and other sensitive personally identifiable information (PII) or protected health information (PHI) is crucial for compliance with regulations that dictate how to handle such data securely. This method not only minimizes the scope of PCI DSS across multiple channels but also strengthens relationships with reliable third-party partners. By integrating tokenization right at the data entry point, organizations can effectively respond to the dynamic nature of security standards. The ShieldConex platform provides a vaultless and format-preserving tokenization solution tailored for each data element, including essential payment details like credit or debit card PAN, expiration date, CVV, and cardholder name. Such a proactive strategy not only streamlines the payment experience across various businesses but also enhances consistency across diverse locations and channels, covering mobile, online, and in-store transactions. Adopting this extensive approach not only fortifies security measures but also significantly boosts customer confidence in the services provided, fostering a sense of safety and reliability. Ultimately, this commitment to safeguarding sensitive information reflects a strong organizational ethos centered around data protection.

What is LeapYear?

Differential privacy serves as a robust framework designed to protect data, enabling analysis and machine learning applications without compromising the privacy of individual records. LeapYear's platform, which leverages differential privacy, safeguards some of the most sensitive datasets worldwide, including social media interactions, medical records, and financial transactions. This groundbreaking method empowers analysts, researchers, and data scientists to derive meaningful insights from a diverse range of data, including those from highly sensitive domains, while ensuring that the specifics of individuals, entities, and transactions are kept confidential. Unlike traditional techniques such as data aggregation, anonymization, or masking—which often reduce the data's utility and can create vulnerabilities—LeapYear's approach to differential privacy provides solid mathematical assurances that individual records remain unreconstructable. By preserving both the integrity and the utility of sensitive information, this innovative system not only upholds personal privacy but also amplifies the capacity for insightful reporting and deep analysis. Consequently, organizations can leverage their data with confidence, assured that privacy is maintained at every step. This assurance ultimately fosters a more responsible and ethical approach to data usage in various applications.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

Bluefin

Date Founded

2007

Company Location

United States

Company Website

www.bluefin.com/products/shieldconex/

Company Facts

Organization Name

LeapYear Technologies

Date Founded

2014

Company Location

United States

Company Website

leapyear.io

Categories and Features

Categories and Features

Data Privacy Management

Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification

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