Key Takeaways
- PII tokenization replaces sensitive personal data with non-sensitive tokens that organizations can use across business systems without exposing the original PII.
- Tokenizing PII early helps prevent sensitive data from spreading into downstream systems, so that in the case of a compromise, only useless tokens risk exposure.
- Enterprise tokenization needs to work consistently across environments, as PII often moves between applications, APIs, clouds, business units, and partners.
- Bluefin offers vaultless, format-preserving PII tokenization designed to work across existing systems while reducing reliance on a central token vault.
Companies today sit on a wealth of customer data, much of it sensitive and subject to strict privacy requirements. Any personally identifiable information (PII) needs to be handled carefully and, in many cases, protected by law.
For organizations that need to keep a wide range of PII secure while still using it across systems and workflows, PII tokenization offers a practical way to do both.
What Is PII Tokenization?
PII tokenization is a security method that replaces PII – such as names, email addresses, phone numbers, Social Security numbers, or customer identifiers – with substitute values called tokens. Business systems can then use tokens instead of the original PII to avoid exposing sensitive personal data.
PII tokenization is commonly used to protect customer databases, PII and PHI fields within healthcare records and workflows, and other applications that need to store or share personal data. When businesses need the original data, reversible tokenization systems can securely detokenize the value.
Why Organizations Need to Tokenize Customer PII
As PII moves through more systems, you need to protect this data without getting in the way of how your business uses it.
Sensitive Customer Data Is Everywhere
Customer PII can move through customer relationship management (CRM) systems and other customer support tools, payment and analytics platforms, marketing systems, and cloud applications. Data tokenization allows those systems to use substitute values instead of the original personal data.
PII Sprawl Creates Enterprise Risk
As PII spreads across applications and teams, breach exposure can increase. Tokenization limits that sprawl by keeping original values out of downstream systems. Should one of those systems suffer a breach, attackers would get access to non-sensitive tokens, not the original data.
Data Privacy Regulations Continue to Expand
Tokenization can also support privacy and compliance requirements by reducing where sensitive data is stored and used. Depending on the data and industry, regulations and security standards can include the General Data Protection Regulation (GDPR), Health Insurance Portability and Accountability Act (HIPAA), California Consumer Privacy Act and California Privacy Rights Act (CCPA/CPRA), and the Payment Card Industry Data Security Standard (PCI DSS).
The Best Way to Secure and Tokenize Customer PII at Scale
Protecting PII effectively requires a scalable approach that secures the data consistently, no matter how many systems and applications it travels through.
Tokenize Data at the Point of Collection
Tokenize PII as early as possible, before the original data can spread into other systems. Let downstream applications handle only meaningless tokens, not sensitive information.
Standardize Tokenization Across the Enterprise
A consistent tokenization approach across applications – versus separate solutions for each one – makes sensitive data easier to protect and govern.
Protect Data in Motion
Tokenize PII before it moves through connected systems so applications and partners can exchange tokens instead of the original sensitive data.
Enable Secure Interoperability
Use tokens that can work across APIs, cloud platforms, and partner ecosystems so systems exchange and use the information they need without exposing PII.
Maintain Governance Without Limiting Innovation
As your organization grows, apply consistent security and access controls to keep PII protected without making sensitive data a barrier to growth.
How PII Tokenization Works
PII tokenization allows organizations to create a controlled handoff between sensitive data and the applications that need to use it.
Capture Sensitive Customer Data
PII is captured at the point of collection and sent for tokenization before it spreads into downstream systems.
Replace PII with Secure Tokens
The original value is replaced with a non-sensitive token that can stand in for the PII in business workflows without exposing the underlying data.
Store Tokens Instead of Raw Data
Applications and workflows use tokens in place of PII, reducing the number of systems that handle sensitive information.
Allow Authorized Detokenization
When access to the original PII is required, authorized users, systems, or processes can securely detokenize it under secure conditions.
Common Challenges of Tokenizing Customer PII at Scale
When choosing a tokenization strategy, consider whether the method you choose can grow with your organization and scale as your needs change.
Reducing Fragmented PII Exposure Across Business Systems
If each part of an organization tokenizes PII in a different way, centralized management can grow difficult due to inconsistent tokens and fragmented governance.
Supporting Hybrid Cloud and Multi-Cloud Environments
If on-premises systems, SaaS applications, and multiple clouds each have different security controls, protecting PII consistently across all environments can get more complex and time-consuming.
Enabling Secure Data Sharing Across APIs and Partners
As customer data moves across more APIs and partners, organizations need tokens that work consistently across systems without exposing the underlying PII.
Future-Proofing Your Security Architecture
If a tokenization setup is built with only one specific environment in mind, adding new applications or regions can require complex redesigns.
Maintaining Performance Without Sacrificing Security
Because tokenization adds an additional step to data processing, transactions can slow down if systems aren’t equipped to handle high volumes efficiently.
How Bluefin Helps Organizations Secure Customer PII at Scale
Bluefin helps organizations tokenize PII without disrupting the systems they already use. Our expertise is in making sensitive data easier to protect and govern across complex enterprise environments.
Support Enterprise-Scale Tokenization
Bluefin provides a consistent way to tokenize PII at global, enterprise scale across cloud, SaaS, and on-premises environments. It also supports centralized data policies and token portability, so the same tokens can remain usable across different applications, business units, platforms, and partners.
Work With Existing Systems
Bluefin’s format-preserving tokenization keeps the structure of the original data, making it easier for existing applications and workflows to use tokens without major changes or redesigns.
Scale Without a Central Vault
Bluefin uses vaultless tokenization, which replaces sensitive data with tokens without storing the original data and its token relationships in a central vault, as is done in vaulted tokenization. Vaultless tokenization removes a concentrated target for attackers while supporting high-volume data processing.
Reduce Compliance Burden
By reducing where original PII is stored and processed with tokenization, Bluefin can make sensitive data easier to govern and help organizations meet industry-specific privacy, security, and compliance requirements.
Secure Customer PII at Scale with Bluefin
As customer PII moves through more applications and channels, protecting it requires more than securing the databases where it’s stored. Bluefin helps organizations tokenize sensitive customer data at scale so less original PII is exposed, while still allowing systems and partners to share the information they need.
Learn how Bluefin helps organizations securely tokenize customer PII across complex enterprise environments.
PII Tokenization FAQs
What types of PII can be tokenized?
Names, email addresses, phone numbers, Social Security numbers, dates of birth, and account numbers are common examples of PII that can be tokenized.
What is the difference between PII tokenization and encryption?
Encryption scrambles PII so it cannot be read without the correct key, but the encrypted data is still the original information in protected form. Tokenization replaces the PII with a substitute value, so systems can use the token without handling the original data at all.
Does PII tokenization help with GDPR and CCPA compliance?
Yes, if implemented correctly. By reducing where original PII is stored, processed, and exposed, tokenization can support compliance with GDPR and CCPA.
Can tokenized PII still be used for analytics?
Yes. With deterministic tokenization, the same piece of PII is replaced with the same token each time. That lets systems recognize and match the same customer across records for analytics without exposing the original PII.
How do organizations tokenize customer PII at scale?
Organizations typically choose a tokenization platform that can integrate tokenization into existing workflows and apply consistent protection across the enterprise even as the business grows.
