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Home / Technology / Tokenization: Secure Data, Unlock Innovation

Tokenization: Secure Data, Unlock Innovation

15 Dec

•

Summary

  • Tokenization replaces sensitive data with tokens, making breached data valueless.
  • It preserves data format and utility for analytics and AI models.
  • Capital One's Databolt offers vaultless tokenization at high speeds.
Tokenization: Secure Data, Unlock Innovation

Tokenization is rapidly becoming essential for modern data security, offering a way to detach data's value from its inherent risk. This technique replaces sensitive information with unique tokens, which are then secured in a digital vault. The token retains the original data's format and usability, making it suitable for various applications, including advanced AI models.

Unlike encryption, tokenization ensures that even if a token is accessed by unauthorized parties, the actual sensitive data remains protected. This inherent security, coupled with reduced reliance on managing encryption keys, makes tokenization a highly scalable solution. Capital One has developed Databolt, a vaultless tokenization system capable of generating millions of tokens per second, addressing performance barriers.

Capital One's extensive experience with tokenization for its banking customers has driven the innovation behind Databolt. This advanced, vaultless approach uses mathematical algorithms and cryptographic techniques for dynamic token generation, eliminating the security risks associated with a central vault. This seamless integration allows businesses to enhance security and operational speed, making tokenization a powerful enabler in the evolving AI landscape.

Disclaimer: This story has been auto-aggregated and auto-summarised by a computer program. This story has not been edited or created by the Feedzop team.
Databolt is Capital One's vaultless tokenization solution designed for high speed and scalability, processing millions of tokens per second.
Tokenization replaces sensitive data with a token of no intrinsic value, while encryption masks data that can be decrypted with a key.
Tokenization preserves data format and utility, allowing AI models to use data safely without accessing the original sensitive information.

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