Tokenization for Data Protection
White paper: Beyond encryption
Explore the expanding role of tokenization in enterprise data protection.
Implement tokenization for maximum data security
Encryption alone is no longer enough. As threats evolve and quantum computing becomes more probable, organizations must adopt layered security strategies. In this white paper, you’ll learn how tokenization can enhance encrypted data warehouses and when it’s essential to protect sensitive data.
3 tokenization takeaways
Tokenization minimizes data exposure risk.
Tokenization replaces sensitive data, like personally identifiable information (PII), with anonymized tokens that provide no value to bad actors. Tokens cannot be reverse-engineered to reveal the original data, creating a robust protective barrier against breaches and reducing regulatory risk.
Tokenization replaces sensitive data, like personally identifiable information (PII), with anonymized tokens that provide no value to bad actors. Tokens cannot be reverse-engineered to reveal the original data, creating a robust protective barrier against breaches and reducing regulatory risk.
Key for zero trust, cloud & on-premise security.
Tokenization helps ensure that minimal raw data is stored in cloud and on-premise architectures and enforces stricter access controls; this complements zero trust strategies that require continuous authentication and authorization.
Tokenization helps ensure that minimal raw data is stored in cloud and on-premise architectures and enforces stricter access controls; this complements zero trust strategies that require continuous authentication and authorization.
Protection without sacrificing scalability.
Capital One Databolt uses secure cryptographic algorithms instead of storing tokens and sensitive data in a central database. This approach offers low-latency, scalable and faster operations, allowing applications and workflows to continue functioning without costly architectural changes.
Capital One Databolt uses secure cryptographic algorithms instead of storing tokens and sensitive data in a central database. This approach offers low-latency, scalable and faster operations, allowing applications and workflows to continue functioning without costly architectural changes.