Capital One is introducing a new solution that provides a way to protect sensitive data to reduce the risk of data being exposed during a breach.
Capital One Databolt is a tokenization solution that replaces sensitive data with secure tokens. It preserves the underlying data format, which allows companies to still run their applications, manage third-party data sharing, and adopt generative AI.
Databolt has a throughput of up to 4 million tokens per second, offers an advanced security model where data stays in the customer’s environment, and has a cloud-native architecture with a flexible deployment model that can be adjusted to fit the customer’s specific needs.
Examples of field types that can be tokenized include SSN, email address, and credit card numbers, and it supports custom field types as well.
Currently, Databolt can be deployed in AWS and Azure, and it supports Python, PySpark, Java, Java Batch (Spark), and GoLang.
According to Ravi Raghu, president of Capital One Software, internally, they’ve been running over a hundred billion tokenization operations a month across hundreds of applications.
“In an era marked by increasing data breaches, complex data privacy requirements, and the adoption of generative AI, the need for robust data protection has never been greater,” he said. “Traditional data security methods often fall short with limited scalability and added complexity. Tokenization can be a game changer, providing next-level security as companies navigate a growing need to protect their data and prepare for an AI-first world.”
