Unlock Private
Financial Data Collaboration

Use privacy enhancing computation to combine and analyze 3rd party data on customers-in-common and make informed business decisions — without risking sensitive data leaking to the competition.

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Description

Privacy risks and regulations hinder the use of AI tools in financial services, especially if the use of AI involves sensitive data. In this webinar, TripleBlind and UnionBank of the Philippines discuss how enterprises can catalyze collaboration around AI tools –– without compromising security or privacy.

THE CHALLENGE TODAY

Collaborating around sensitive data is difficult, expensive and risky.

Unlocking the business value of data involves encrypting the data and sending it to a partner or vendor. The data which is encrypted for transit gets decrypted on the receiving end, making it more vulnerable to breaches.

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the problem with financial data sharing diagram

WHAT THIS MEANS:

Added liability for all partners

Noncompliance issues and steep fees for violations

Lengthy negotiations resulting in contracts which rely on trust

Intentional and unintentional data abuses

Data regulations further restrict what can be done with data:

Europe’s General Data Protection Regulation (GDPR) and data localization laws hold data in place inside strict borders.

Regulations differ from country to country and region to region, making compliance a moving target.

DATA SHARING WITHOUT DATA TRANSMISSION

Remove risk and liability without restricting utility, compliance baked in.

TripleBlind uses one-way encryption (with no decryption possible) and allows only approved operations to be executed.

Ready to learn more about how our privacy enhancing technology can benefit you?

Read our Use Cases

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DATA AND ALGORITHMS ARE:

One-way Encrypted

Never Decrypted

Subject to Customized Permissioning

Peer-to-Peer Connected Through the API

TripleBlind never takes possession of any assets.

BY ELIMINATING DECRYPTION, TRIPLEBLIND ENABLES:

GDPR and data localization compliance

Data sharing with no stray data

Reductions in liability and of IT costs

Fine grain control of 3rd party usage, audit trail

Full use of large datasets with no loss of accuracy or utility

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A Solution for the Real World

READY TODAY

TripleBlind’s privacy enhancing technology makes it safe to collaborate when using personally identifiable information (PII) and personally identifiable financial information (PIFI). Enable third-party access to use your data without decryption, replication, or visibility to any raw data.

TripleBlind reduces the risks on all sides — banks, credit unions, and other financial institutions never provide raw data while partners like fintechs, neobanks, and algorithm vendors are able to use high quality data to better serve your customers and theirs. All operations ordinarily done using raw data can be carried out privately using our privacy enhancing technology, without exposing sensitive information or sacrificing performance in speed or accuracy of insights.

BETTER SERVICE OFFERINGS

LOW LIABILITY

MORE ACCURATE ALGORITHMS

NO RESTRICTIONS ON LEGITIMATE USE

LOWER IT SECURITY COSTS

Use Cases in Financial Services

For more detail on these use cases and others, download our financial services one pager!

access our one pager

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A Demo

Interested in a product demo? We’d love to hear from you.

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Unlock Private
Financial Data Collaboration

Collaborating around sensitive data is difficult, expensive and risky.

WHAT THIS MEANS:

Data regulations further restrict what can be done with data: