The software Arm of capital one has expanded the available the available enables its departments to improve their data security using data tokenisation.
The business-to-business software division of the financial services company has made its databolt data tokenisation software available on two two major data platforms-Databricks and SnaOWFLACKE.
Capital one description its implementation of data tokenisation as the process of replacing raw data with a digital representation. In a blog post Discussing the benefits of the technology, the company said: “in data security, tokenisation replaces sensitive data with randomized, nonsensitive substitutes, nonsensitive substitutes, called tokens, that is no tokens, that is no tokes Back to the original data. “
Application Areas Include Using Data tokenisation to Secure Corporate Data When Training Artificial Intelligence (AI) Models and Protecting Perceonally identified data, to camply with data protectation Regulations like General Data Protection Regulation and Payment Card Regulation Such as PCI DSS for Ecommerce Transactions,
Tokenisation is seen as an alternative to encryption, but is generally easy to integrate into existing it systems. It effectively gives Cyber Security Chfes the Ability to Remove Sensitive Data from It Systems, What Reduces The Impact of Data Loss Due to an it sex. It's a technique used in financial services to protect payment data.
Among the benefits, according to capital one, is that tokenisation preserves the length and format of data. Data tokenisation also mainTains Database Relationships. This means it can be implemented in existing it systems and applications without breaking how the applications process process the data.
Analysis from mckinsey Sugges That Tokenised Market Capitalisation Cold Around $ 2TN by 2030, Driven by Tokenisation of Financial Assets. Tokenisation is also a fundamental part of how large language models work where it is used to convert words and sentences into numerical values that can then then be processed.
Capital One Said Its Implementation of Data tokenisation through Databolt Enables Companies to Tokenise Sensitive data directly Within databricks and snowflake, Making It Easier For Companies to Protect Sensitive data where it resides. According to capital one, this means it Security Leaders Can Strengthen Data Security with Slowing Down Innovation.
Desikan Madhvanur, Senior Vice-PRESIDENT, And Chief Product and Technology Officer at Capital One Software, Said: “Today's Companies Are Managing Data Across a Vast Ecosystem. Integrating databolt With databricks and snowflake is key to helping company their data with
Databolt provides data tokenisation via the Databricks unity catalogCapital One Said The Integration Allows Databolt Customers to Define Toukenisation Policies, Ingest Databricks User Groups for Role-Based Access Control, Initiate tokenisation Jobs and Configure Workflows.
It's also available on the Snowflake marketplaceHere, databolt uses snowpark container services and the snowflake native app framework to provide native integration with the data platform. According to capital one, the integration means sensitive data does not need to leave a customer's snowflake environment.
Capital one said the integration of databolt on the snowflake platform allows customers to deploy their tokenisation engine directly in their snowflake environment, define access for tokenization basd on Pre-existing snowflake roles and access tokenisation functionality through user-defined functions.