Private and compliant
use and training
monetization
deployment
of all data types, AI and ML models.
Data exchange and use relies on good faith adherence to Legal Terms.
THE CHALLENGE TODAY
When two companies need to work together, they exchange raw data.
Exchanging raw data exposes all parties to a variety of compromises:
THE CHALLENGE
When two companies need to work together, today they exchange raw data.
Exchanging raw data exposes all parties to a variety of compromises, making privacy and monetization of information assets, like data and algorithms, a complex balancing act.
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Company A encrypts and sends data to Company B
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Company A allows data to be decrypted for use.
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Company B decrypts data for use.
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Company B negligently allows stray data to remain on servers against Terms of Use.
PROBLEMS ASSOCIATED WITH DECRYPTION:
Data exchange and use relies on good faith adherence to Legal Terms.
The data economy requires costly IT and security infrastructure.
Stray Data can be left behind after use, unsecured and vulnerable to counter-parties.
Aggregating data from various providers is expensive and complex.
Data de-identification reduces the value and training accuracy of data.
The One-Way
Ephemeral Clean Room
Access Data
INGEST HISTORICALLY INACCESSIBLE DATA
Previously inaccessible data is easily licensed to make your models more accurate and less biased.
Easily gain insights from the data sets you need without time-consuming legal contracts.
Monetize Data
GRANT INSIGHTS FROM DORMANT DATA
Monetize your data and bring new sources of profits straight to your bottom line
Collaborate freely without having to rely on good faith adherence to your terms of use.
ACCESS OUR WHITE PAPER
See how TripleBlind has Solved the Biggest Problems Facing Data Today.
ACCESS OUR WHITE PAPER
See how TripleBlind has Solved the Biggest Problems Facing Data Today.
UNLOCK NEW OPPORTUNITIES
Vast amounts of data stored by enterprises today are inaccessible and unmonetized due to privacy concerns and regulations. TripleBlind’s patented breakthroughs in advanced mathematics arm organizations with the ability to share, leverage and monetize regulated data, such as PII. TripleBlind unlocks new revenue opportunities without violating GDPR, HIPAA and other standards.
TOOLS FOR FINANCIAL SERVICES
Privacy for the Financial Data Economy
Decryption kills the financialdata economy, learn how TripleBlind can unlock liquidity and new partnership opportunities. See what we’re already doing for clients just like you.
TOOLS FOR RESEARCH
Privacy for AI in Healthcare
AI in healthcare is highly complex. Today, collaborating around personal health information means it must be decrypted, making personal data vulnerable. TripleBlind can remove liability without restricting utility.
Built by AI Experts
for AI Professionals
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Company A Encrypts data related to customer purchase histories. Company A wants to share only those data related to ice cream purchases.
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Company B tries to run an algorithm that will calculate the pizza spend of customers represented in Company A’s data set, and is rejected.
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Company B is allowed to run other algorithms related to ice cream, per Company A’s DRM.
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Company A can allow another vendor to train against its customer data.
Third Party Digital Rights Management
TripleBlind’s Third Party digital rights management offers control of your data while it’s being used by third parties.
- Manage individual attribute and record level permissions on the data
- Cryptographically audit every data and algorithm interaction with extreme accuracy
This means both parties must provide cryptographic consent to every operation, effectively eliminating all counter-party data leak or abuse risk!
Hardware Agnostic
and Cloud Ready
Privophy
Secure Search Encryption
Homomorphic Encryption
Private Set Interaction
Private Training
Model Fingerprinting
SMPC VS FHE
Fast and
Future Proof
| SMPC | FHE |
|---|---|
| Fast | Slow |
| Future proof | May be cracked in the future |
| Privophy™ supports non-linear operations, including comparisons | Only supports basic algebraic operations |
| Requires all parties online | Operates offline |
| All parties consent to each use | Doesn’t require consent of all parties for other uses |
| Mathematical Digital Rights Management | No Digital Rights Management |
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A Demo
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