Data Tokenization Tools

The business entity approach:
protecting data in every industry

Financial services providers

Reduce PCI DSS scope and achieve compliance with all relevant privacy requirements including Nacha and SOX.

Healthcare insurance and pharma

Safeguard patient data by replacing PHI and identifiers with tokens, in compliance with HIPAA and similar regulations.

Retail and e-commerce

Protect customer privacy, cooperatively share data,
and comply with GDPR, CPRA, PCI DSS, and other laws.

K2view brings a business entity approach to data tokenization, in which sensitive data and corresponding tokens are securely stored and managed as separate entities (e.g., customers, investors, or patients) in a patented Micro-Database™. Each Micro-Database serves as an individually encrypted and compressed "micro" token vault.

For example, instead of an enterprise maintaining 1 centralized "mega" token vault for its 10 million customers – with the ever-present potential for a mass data breach – entity-based data tokenization eliminates that risk by creating 1 micro-vault for each customer (in this case, 10 million micro-vaults).

All data is encrypted or hashed, at rest or in flight, via the AES-256 algorithm or SHA-512 hash function.
RBAC controls access to decryption and de-tokenization, ensuring only authorized users can access sensitive data at the most granular level.
Seamlessly incorporates LDAP for enhanced user management, authentication, and access control.
Built-in dynamic data masking provides an added layer of protection for data that doesn't require restoration to its original value.

Better data protection

due to multiple levels of security and encryption.

DevOps-ready solution

where APIs integrate with CI/CD pipelines.

Quick and easy rollout

with software-only implementation in weeks.

Flexible deployment

in on-prem, cloud, or hybrid environments.

No-code intuitive GUI

for more productivity and less burden on IT.

Future-proof solution

designed to integrate with any and all data sources.

Scalable architecture

supporting an unlimited number of data sources.

Support for any data

in any format, language, or technology.

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Data Privacy and Compliance

By Data for Generative AI

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