Introducing Databolt
Built to meet the highest security demands, Databolt empowers you to leverage your most sensitive data securely at scale without sacrificing performance.
Run within your environment for optimal performance.
Build AI models that unlock the value of your data.
An evolution of Capital One’s in-house tokenization platform.
Minimize your risk–without limiting the power of your data
Databolt’s vaultless tokenization delivers high performance while limiting risk. Seamless integration can protect sensitive data everywhere, at scale, making it ideal for large datasets.
Configurable platform
Databolt enables centralized policy management and role-based access controls (RBAC) to oversee access for protecting sensitive data.
Simple and secure deployments
Designed for scale and resiliency, Databolt is securely installed in your environment and can be deployed in multiple regions and clusters.
SDK Libraries & Tools
Databolt’s SDKs and tools let you integrate tokenization into existing applications, enhancing data security across your organization.
Press Release
April 17, 2025, McLean, VA – Capital One Software, the enterprise B2B software business of Capital One, today announced the launch of Capital One Databolt, a tokenization solution designed to help businesses address growing data security challenges.
Related Content
What cloud providers can Databolt be deployed in?
Databolt can be deployed in AWS and Azure.
What's the difference between vaulted and vaultless tokenization?
A vaulted tokenization solution stores plaintext values and tokens in a database; a vault. In contrast, a vaultless tokenization solution doesn’t store anything because the relationship with plaintext and the token is algorithmic.
What field types can I tokenize?
Databolt comes with field templates configured based on industry standards to employ field types such as SSN, email address, credit card numbers, and much more. Databolt also supports custom fields to meet the specific needs of your organization.
What SDKs does Databolt support?
Databolt currently supports Python, PySpark, Java, Java Batch (Spark) and GoLang.