TripleBlind Lands $24 Million in Series A Funding Led by General Catalyst and Mayo Clinic, in an Oversubscribed Round

  • Enables Enterprises to Unlock and Commercialize enormous amount of Unused Data*
  • Mayo Clinic Joins Round as Strategic Investor, Expands Equity Position
  • Demonstrates Accelerated Market Interest in Comprehensive Data Privacy Solutions     
  • Accenture and Mayo Add Board Observers

 

KANSAS CITY, MO – October 18, 2021 – TripleBlind, the private data sharing company that offers proprietary cryptographically-enforced data privacy solution, announced today it has received $24 million in an oversubscribed Series A funding led by General Catalyst and Mayo Clinic. This round follows TripleBlind’s pre-seed raise of $8.2 million announced in March 2021.

TripleBlind’s solution enables entities to share and collaborate with data anywhere in the world. without the need to share raw data, thus preserving privacy and security while meeting regulatory standards, (including with data while enforcing the data privacy and data residency regulations now in place in more than 100 countries, including HIPAA and GDPR, as well as similar regulations in four U.S. states, such as and California’s CCPA).. 

“When we launched last November, the primary interest in TripleBlind’s solution was among healthcare organizations, to more effectively share data while enforcing HIPAA and GDPR,” said Riddhiman Das, TripleBlind’s Co-founder and CEO. “Today, interest has grown exponentially and now includes leaders in financial services, media and telecommunications, energy and many other industries where sharing data assets is critical to sustained, long-term growth. The strong interest from our current and new investors highlights the growing market need for data privacy solutions that are both effective and efficient.”

“TripleBlind is an incredible platform for empowering companies to collaborate on data while preserving privacy, data rights and intellectual property.  Particularly important today in the healthcare industry, as the lack of data mobility results in fragmented and non-optimal care,” said Quentin Clark, Managing Director, General Catalyst. “At General Catalyst we believe that TripleBlind’s platform for enabling teams to work together with the most private and sensitive data is a necessary part of how companies will be able have agility while respecting the privacy of their customers, and the intellectual property of their partners.  We are thrilled to work with the TripleBlind team as they work to achieve their mission.”

“Bringing together AI algorithms and data in ways that preserve privacy and intellectual property is one of the keys to delivering the next generation of digital medicine,” says John Halamka, M.D., President of Mayo Clinic Platform, who joins the TripleBlind Board as an observer. “These novel privacy-protected solutions promise to usher a new era of collaboration.”

In addition to General Catalyst and Mayo Clinic, Series A round participants include AVG Basecamp Fund, Accenture Ventures, Clocktower Technology Ventures, Dolby Family Ventures, Flyover Capital, KCRise Fund, NextGen Venture Partners, and Wavemaker Three-Sixty Health.

 

About TripleBlind

TripleBlind offers proprietary cryptographically-enforced privacy for data and algorithms, allowing institutions to collaborate around the most private and sensitive data without it ever being decrypted or leaving their firewall. TripleBlind Keeps data private and in place while allowing authorized operations on any type of data, any algorithm, computable by third parties in real-time. TripleBlind does not host or access the data.  TripleBlind Two min Overview Video

The TripleBlind Private Data Sharing Solution unlocks the estimated 43ZB of data stored by enterprises today that are inaccessible and not commercialized due to privacy concerns, operational complexity and regulations. The company’s patented breakthroughs in advanced mathematics enable organizations to secure larger and more diverse data sets for innovating enhanced algorithms for medical diagnoses and improved anti-fraud initiatives in financial services. It is the only technology that enables enterprises to rapidly commercialize data while maintaining compute performance; enabling analysis of all data types, such as PII, PHI, genomic data, images, and confidential financial records; and enforcing  complying all international and regional data privacy standards, including HIPAA, GDPR, PDPR, and CCPA.

TripleBlind technology significantly differs from existing solutions and is not based on homomorphic encryption, secure enclaves, tokenization/masking/hashing and differential privacy, synthetic data, federated learning and blockchain. Refer to competing solutions section on our website. For an overview, a live demo, or a one-hour hands-on workshop, contact@tripleblind.ai.

 

About General Catalyst
General Catalyst is a venture capital firm that invests in powerful, positive change that endures — for our entrepreneurs, our investors, our people, and society.  We support founders with a long-term view who challenge the status quo, partnering with them from seed to growth stage and beyond to build companies that withstand the test of time. With offices in San Francisco, Palo Alto, New York City, London, and Boston, the firm has helped support the growth of businesses such as: Airbnb, Deliveroo, Guild, Gusto, Hubspot, Illumio, Lemonade, Livongo, Oscar, Samsara, Snap, Stripe, and Warby Parker. For more: www.generalcatalyst.com.

 

Contact
Victoria Guimarin
UPRAISE Marketing + Public Relations for TripleBlind
tripleblind@upraisepr.com
415.397.7600

TripleBlind to Highlight Benefits of Enhanced Data Sharing and Collaboration in Healthcare and Fintech at Upcoming Industry Events

KANSAS CITY, MO., Oct. 15, 2021 – Thought leaders from TripleBlind, the solution that enables entities to collaborate without the need to share raw data and without that data ever leaving the company’s firewall, will present at several upcoming industry events. 

At events focused on healthcare and fintech, TripleBlind will speak on compliance when sharing data across international borders and throughout all industries and data platform enablement.

TripleBlind will participate in these upcoming events:

  • HLTH 2021, Oct. 17-20, held at the Boston Convention & Exhibition Center in Boston. TripleBlind co-founder and CEO Riddhiman Das will present on the topic, Data platform enablement in the age of privacy, on Tuesday, Oct. 19 from 4:45-4:55 p.m. ET.

Das’ session will give insight into how advanced privacy-enabled data-sharing technologies, such as TripleBlind’s solution, can greatly enhance scientific collaboration between groups and allow for more rapid development and scalable implementation of AI-driven tools to advance healthcare.

TripleBlind will exhibit at booth #627. To schedule a meeting with TripleBlind during HLTH, reach out to mitchell@tripleblind.ai. Click here to register today, and use code “21HLTH_tripleblind150” to save $150.

  • Money 20/20 U.S., Oct. 24-27, held at The Venetian Resort in Las Vegas. Das will present Five Data Privacy Predictions for 2022 and Beyond alongside Liz Harding, privacy expert and Shareholder at Polsinelli, and Sanjib Kalita, CEO of Guppy. The session will take place Monday, Oct. 25, from 9:55-10:25 a.m. PT at Serendipity Stage, Expo Hall, Level 2.

The rapid increase in the global market for big data and business analytics, projected to reach more than $500 billion by 2026, has created complex privacy and security issues in the fintech space. In this discussion, Das, Harding and Kalita will give insight into data privacy predictions to expect in the next year and how they will affect the financial industry, including the benefits of sharing data and not keeping it locked in a silo.

Click here to register.

 

About TripleBlind

The TripleBlind Private Data Sharing Solution unlocks the estimated 43ZB of data stored by enterprises today that are inaccessible and not commercialized due to privacy concerns, operational complexity and regulations. The company’s patented breakthroughs in advanced mathematics enable organizations to secure larger and more diverse data sets for innovating enhanced algorithms for medical diagnoses and improved anti-fraud initiatives in financial services. It is the only technology that enables enterprises to rapidly commercialize data while maintaining compute performance; enabling analysis of all data types, such as PII, PHI, genomic data, images, and confidential financial records; and enforcing all international and regional data privacy standards, including HIPAA, GDPR, PDPR and CCPA.

TripleBlind is superior to existing solutions such as homomorphic encryption (slows compute performance), secure enclaves (siloes data), tokenization/masking/hashing and differential privacy (reduces accuracy), synthetic data (not real data), federated learning (no protections against data reconstruction) and blockchain (does not enable data sharing). Innovators including Accenture, Mayo Clinic, and Snowflake trust TripleBlind to protect sensitive data. For an overview, a live demo or a one-hour hands on workshop, contact@tripleblind.ai

 

Contact

Victoria Guimarin
UPRAISE Marketing + Public Relations for TripleBlind
tripleblind@upraisepr.com
415.397.7600

TripleBlind COO Greg Storm to Participate in Think Tank of Industry Leaders at Money20/20 Europe, Sept. 21

WHO:

Greg Storm, Co-founder and COO, TripleBlind
Dave Birch, Global Ambassador, Consult Hyperion
Louise Maynard Atem, Research Lead, Women in Identity
Emma Lindley, Co-Founder, Women in Identity
Felix Gerlach, CPO & Co-Founder, Passbase
Katryna Dow, CEO and Founder, Meeco

WHAT:

On September 21, TripleBlind’s COO, Greg Storm will participate in a Think Tank at Money20/20 Europe based on the topic “The future is trustless. What do we need instead?” Storm will join other industry experts to discuss whether trust is an outdated concept or not, and how enterprises can trade and share data without trust.

WHY:

If data is the new oil, it is not flowing correctly due to risks of unauthorized use, regulation, and compliance concerns. Unlocking private data sharing will lead to advancements in identity protection, fraud management, macroeconomic insights, and more in fintech.

TripleBlind provides zero-trust data sharing that allows enterprises or third parties to analyze and use data without ever seeing it or duplicating it.

WHEN:

Tuesday, September 21, 2021
Money20/20 Europe, Amsterdam
4:00 – 5:00 p.m. CEST

WHERE:

Participants can register for Money20/20 here.

MEDIA:

Storm will be available for pre-event interviews, as well as interviews on-site at Money20/20. To coordinate, please email tripleblind@upraisepr.com.

About TripleBlind

TripleBlind unlocks the estimated 105 petabytes of data stored by enterprises today that are inaccessible and not commercialized due to privacy concerns, operational complexity and regulations. The company’s patented breakthroughs in advanced mathematics enable organizations to secure larger and more diverse data sets for innovating enhanced algorithms for medical diagnoses and improved anti-fraud initiatives in financial services. It is the only technology that enables enterprises to rapidly commercialize data while maintaining compute performance; enabling analysis of all data types, such as PII, PHI, genomic data, images, and confidential financial records; and enforcing all international and regional data privacy standards including HIPAA, GDPR, PDPR and CCPA.

TripleBlind is superior to existing solutions such as homomorphic encryption (slows compute performance), secure enclaves (siloes data), tokenization/masking/hashing and differential privacy (reduces accuracy), synthetic data (not real data), federated learning (limited use for algorithms), confidential computing (requires data centralization) and blockchain (not interoperable). Innovators including Accenture, the Mayo Clinic, and Snowflake trust TripleBlind to protect sensitive data. For an overview, a live demo or a one-hour hands on workshop, contact@tripleblind.ai.

 

TripleBlind Contact:

Victoria Guimarin
UPRAISE Marketing + PR for TripleBlind
tripleblind@upraisepr.com
510.331.9548

 

Kamyar Naficy
KNECTCOMMS for TripleBlind
kn@knectcomms.com
+44(0)7453 323 367

 

TripleBlind’s Solution Analyzed by Polsinelli PC

Organizations Can Collaborate and Commercialize the Estimated 93% of Data Currently Unavailable, While Avoiding Violations of GDPR, HIPAA and Other Regulatory Standards

KANSAS CITY, MO., August 26, 2021 TripleBlind’s privacy claims relating to its Enterprise Data Privacy as a Service technology, which unlocks new revenue opportunities while automatically enforcing all privacy regulations, have been analyzed by Polsinelli PC, which found that data de-identified using TripleBlind’s one-way encryption and distributed computing can reduce the legal risk for all parties involved in data exchange processes.

Data sharing via TripleBlind’s technology includes three roles: a data provider, an algorithm provider (data user) and TripleBlind. In the scenario below, Hospital B (the algorithm provider and data user) wants to know if it shares any patients with Hospital A. Hospital A agrees to share this information with Hospital B, and TripleBlind enables the hospitals to collaborate and provide better patient care while never decrypting data:

  • Hospital A (data provider) and Hospital B (data user) share their databases to TripleBlind software locally (behind their firewalls) and TripleBlind’s technology encrypts each of Hospital A’s and Hospital B’s data (still behind their respective firewalls).
  • Hospital B requests patient information to determine if it shares patients with Hospital A.
  • TripleBlind’s technology enables a comparison between Hospital A and Hospital B data without decrypting it, forwards patients in common (and no other information) to Hospital B.
  • TripleBlind’s technology prevents Hospital B from performing any other operation on the data forwarded to it.

 

“Gartner anticipates that by 2023, 65% of the world’s population will have their data protected under privacy regulations. As more governments introduce privacy laws, it’s imperative for organizations to understand and comply with these different regulations,” said Polsinelli attorney and shareholder, Elizabeth Harding. “We analyzed TripleBlind’s claims that its technology has privacy-enhancing features that enable compliance with data privacy laws including GDPR and HIPAA.” 

Polsinelli found that use of TripleBlind’s technology to permanently and irrevocably de-identify data:

  • Reduces exposure under GDPR by taking the data processed outside the definition of personal data; and
  • Reduces exposure under HIPAA by ensuring that data is processed in a de-identified fashion.

 

“TripleBlind’s breakthrough solution in cryptography and data privacy allows for safer and more compliant collaboration globally,” said Riddhiman Das, co-founder and CEO of TripleBlind. “We will see this become increasingly important as areas around the world continue to implement their own conflicting data privacy laws, similar to what we are seeing in the United States in states like California and Virginia.”

 

GDPR

GDPR defines personal data as “any information relating to an identified or identifiable natural person,” a broad definition that can lead to confusion and privacy risks. GDPR applies to the processing and sharing of personal data; it does not apply to anonymous data. TripleBlind allows entities to share anonymous, permanently and irrevocably, de-identified data while still achieving the same data-sharing needs, eliminating the risk of organizations violating GDPR.

In the report, Polsinelli walks through a use case where TripleBlind uses anonymized random pieces to allow an e-commerce website to detect fraud on its website using a cloud-based service provider. Traditionally, the e-commerce site would provide raw data directly to the service provider, and the provider would run its algorithm against the raw data, which includes personal data.  This would trigger various GDPR obligations, including the requirement for a lawful basis for processing and, to the extent the personal data in question was considered a ‘special category’ of personal data, an exception to the prohibition on processing such special category personal data. Instead, TripleBlind’s technology obtains the same outcome without the Vendor processing identifiable data.

As it relates to GDPR regulations, Polsinelli finds that data which is permanently and irrevocably anonymized using TripleBlind’s technology is exposed to minimized privacy risks from the perspective of each of the roles involved in a typical use case:

  • The data provider reduces its obligations under the GDPR by taking steps to minimize the sharing of personal data with third parties, including algorithm providers.
  • The algorithm provider can altogether avoid the GDPR by performing its functions through TripleBlind (it does not process personal data).
  • The GDPR does not apply to TripleBlind in its role as the technology vendor because TripleBlind does not process personal data.

 

HIPAA

In the United States, HIPAA regulates the use and disclosure of Protected Health Information (PHI). Through a combination of one-way cryptography and data splitting, TripleBlind mitigates user risk of violating HIPAA by allowing entities the ability to collaborate without using or disclosing PHI.

TripleBlind allows healthcare providers to achieve more ethical and equitable AI-based models and deliver “deep medicine” globally with simpler compliance with local and regional privacy standards. 

Expert Dr. Kalikinkar Mandal conducted a de-identification analysis of TripleBlind under the Expert Determination Method and concluded that the risk of the algorithm provider identifying an individual based on PHI is very low with respect to the data processed through TripleBlind’s technology.

As it relates to HIPAA regulations, Polsinelli finds that data which is permanently and irrevocably anonymized using TripleBlind’s technology is exposed to minimized privacy risks from the perspective of each of the roles involved in a typical use case:

  • Information from the data provider is immediately encrypted and split in a manner that results in no data elements which would be considered PHI being disclosed to the recipient.
  • The encrypted result does not enable the algorithm provider to reverse engineer the original data input, so the result data also does not contain any data elements which would be considered PHI.
  • TripleBlind never processes any PHI, whether encrypted or otherwise, meaning TripleBlind is not a business associate of either the data provider or the algorithm provider.

 

About TripleBlind

TripleBlind unlocks the estimated 105 petabytes of data stored by enterprises today that are inaccessible and not commercialized due to privacy concerns, operational complexity and regulations. The company’s patented breakthroughs in advanced mathematics enable organizations to secure larger and more diverse data sets for innovating enhanced algorithms for medical diagnoses and improved anti-fraud initiatives in financial services. It is the only technology that enables enterprises to rapidly commercialize data while maintaining compute performance; enabling analysis of all data types, such as PII, PHI, genomic data, images, and confidential financial records; and enforcing all international and regional data privacy standards, including HIPAA, GDPR, PDPR and CCPA.

TripleBlind is superior to existing solutions such as homomorphic encryption (slows compute performance), secure enclaves (siloes data), tokenization/masking/hashing and differential privacy (reduces accuracy), synthetic data (not real data), federated learning (limited use for algorithms), confidential computing (requires data centralization) and blockchain (not interoperable). Innovators including Accenture, the Mayo Clinic, and Snowflake trust TripleBlind to protect sensitive data. For an overview, a live demo or a one-hour hands-on workshop, contact@tripleblind.ai.

 

About Polsinelli

Polsinelli is an Am Law 100 firm with 900 attorneys in 21 offices nationwide. Recognized by legal research firm BTI Consulting as one of the top firms for excellent client service and client relationships, the firm’s attorneys provide value through practical legal counsel infused with business insight, and focus on health care, financial services, real estate, intellectual property, middle-market corporate, labor and employment and business litigation. Polsinelli PC, Polsinelli LLP in California.

Polsinelli is very proud of the results we obtain for our clients, but you should know that past results do not guarantee future results; that every case is different and must be judged on its own merits; and that the choice of a lawyer is an important decision and should not be based solely upon advertisements. Copyright © 2021 Polsinelli PC. Polsinelli LLP in California.

 

Contacts

Victoria Guimarin
UPRAISE Marketing + Public Relations for TripleBlind
tripleblind@upraisepr.com
415.397.7600

 

Liz Harding
Shareholder, Privacy and Data Security
Polsinelli
eharding@polsinelli.com
303.583.8228

 

TripleBlind to Highlight Business Benefits of Enhanced Data Sharing and Collaboration at Upcoming Industry Events

KANSAS CITY, MO., July 29, 2021TripleBlind announced today several upcoming events where the company will highlight new revenue opportunities made possible by increased data sharing and collaboration, while automatically enforcing regulatory standards such as HIPAA and GDPR. TripleBlind’s next generation cryptographic technology enables companies to share sensitive data without that data ever leaving the company’s firewall, and only allowing the data user to perform operations specifically authorized by the data provider. 

 

TripleBlind will participate in these upcoming events:

  • HIMSS Conference, August 9-13, to be held at Venetian-Sands Expo Center, Caesars Forum Conference Center and Wynn in Las Vegas. TripleBlind co-founder and CEO Riddhiman Das will present on the topic, Unlocking Data Platforms and Marketplaces, on Wednesday, August 11 from 2:15-2:35 p.m. and TripleBlind will exhibit in the Sands Expo Center, level 2, booth #7710. To schedule a meeting with TripleBlind during HIMSS, reach out to gaurav@tripleblind.ai. Click here to register.
  • Overcoming Privacy Hurdles: Approaches for Challenges in Data Sharing, Wednesday, August 25 at 12 p.m. CT. This webinar will focus on the opportunities created by enhanced data sharing while enforcing privacy standards such as GDPR and HIPAA. It will include Elizabeth Harding, shareholder at IP law firm Polsinelli, Fatima Khan, senior corporate counsel, privacy and product at leading independent identity provider Okta and Riddhiman Das, co-founder and CEO at TripleBlind. Click here to register.

 

About TripleBlind
TripleBlind’s patented breakthroughs in advanced mathematics arm organizations with the ability to share, leverage and monetize regulated data, such as PII and PHI, and mission-critical enterprise data, such as tax returns and banking transactions. It unlocks the estimated 105 petabytes of data stored by enterprises today that are inaccessible and unmonetized due to privacy concerns and regulations. With TripleBlind, decision-makers generate new revenue for their organizations by gaining deeper insights faster, creating improved modeling and analysis, and collaborating more effectively with customers and partners and even competitors, while enabling enterprises to enforce today’s regulatory standards, such as HIPAA, GDPR and PDPA. 

For more information, please visit tripleblind.ai

 

U.S. Media Contact:

Victoria Guimarin
UPRAISE Marketing + Public Relations for TripleBlind
tripleblind@upraisepr.com
415.397.7600

 

European Media Contact:

Kamyar Naficy
KNECTCOMMS for TripleBlind
kn@knectcomms.com
+44(0)7453 323 367

TripleBlind to Host Webinar with Riddhiman Das and Accenture’s Keri Smith; Learn How to Monetize and Safely Share Sensitive Financial Data

WHO:
Riddhiman Das, Co-founder and CEO, TripleBlind
Keri Smith, Managing Director, Applied Intelligence – Financial Services, Cloud First, Accenture

WHAT:
On June 22, Das and Smith will go over how to combine financial data sets from multiple sources, both internal or external, while staying compliant with GDPR, CCPA, and data residency requirements. Learn how it works with new AI and ML companies in a cost-efficient manner.

WHY:
Financial institutions in the modern world can monetize and safely share sensitive data. TripleBlind provides zero trust data sharing that allows internal teams or third parties to analyze and use data without ever seeing it or duplicating it.

WHEN:
Tuesday, June 22, 2021
Global Banking in 2022: The Challenges of Data Privacy Risks and Regulations – versus the Opportunities of Data Exchanges and Data Platforms
12:00 pm (CT)

WHERE:
Participants can register for the webinar here.

 

About TripleBlind
TripleBlind’s patented breakthroughs in advanced mathematics arm organizations with the ability to share, leverage and monetize regulated data, such as PII and PHI, and mission-critical enterprise data, such as tax returns and banking transactions. It unlocks the estimated 105 petabytes of data stored by enterprises today that are inaccessible and unmonetized due to privacy concerns and regulations. With TripleBlind, decision-makers generate new revenue for their organizations by gaining deeper insights faster, creating improved modeling and analysis, and collaborating more effectively with customers and partners and even competitors, while enabling enterprises to enforce today’s regulatory standards, such as HIPAA, GDPR and PDPA.

For more information, please visit tripleblind.ai

 

TripleBlind Contact:
Victoria Guimarin
E-mail: tripleblind@upraisepr.com
Phone: +1 510.331.9548

TripleBlind’s Automated and Real-Time De-Identification Facilitates Data Sharing among Healthcare Institutions, the Only Solution that De-Identifies Genomic Data

Enforces HIPAA, GDPR and other Regulatory Standards, Built on One-Way Encryption, Eliminates Potential for Patient Identification

KANSAS CITY, MO., May 25, 2021 – The solutions available today to share regulated data while remaining in compliance with HIPAA, GDPR and other standards are typically slow and expensive, and it can also be unclear that all the data was actually de-identified. As a result, many organizations continue to conduct research and data analysis as well as develop algorithms with limited data sets, impacting the efficacy of these operations. And, enormous amounts of healthcare data remain unutilized due to privacy concerns.

TripleBlind has created a highly innovative approach to data de-identification via one-way encryption that allows all data attributes to be used, even at the patient level, while eliminating any possibility of the data user learning anything about the patient’s identity. Its patented breakthroughs in advanced mathematics give healthcare organizations the ability to share PHI, health records, genomic and other data, unlocking the ability to conduct a wide range of data operations, such as data analysis, algorithm development and algorithm validation. TripleBlind is the only solution to effectively de-identify genomic data, without impacting the resolution of the underlying data.

“We selected TripleBlind as our data privacy partner due to its novel approach for protecting sensitive patient and related data. Its blind de-identification approach via one-way encryption is an important part of our data and technology platform for personalized medicine and drug development,” said Tero Silvola, CEO of BC Platforms, a global leader in healthcare data management, analytics and access. “We work daily with highly sensitive and regulated data, and identified TripleBlind’s approach as unique and highly suited to our needs.” 

TripleBlind’s Blind De-identification via one-way encryption enables data to be usable at its highest resolution without incurring an accuracy penalty. It provides many advantages over the five methods for data anonymization most frequently utilized today. Blind de-identification does not alter the fidelity of the data, while:

  • K-anonymization alters the fidelity of the data through two means: suppression (data masking); certain values of the attributes are replaced by an asterisk. All or some values of a column may be replaced by an asterisk; or generalization; individual values of attributes are replaced with a broader category, e.g., the value 19 might be replaced with <20,
  • Pseudonymization replaces private identifiers with fake identifiers or pseudonyms,
  • Data swapping (shuffling or permutation) rearranges the dataset attribute values so they do not correspond with the original records,
  • Data perturbation modifies the original data set by rounding numbers and adding random noise, also known as differential privacy,
  • Synthetic data is often used in place of altering the original dataset or using it as is and risking privacy, but even the best synthetic data is still a replica of specific properties of the original data.

In addition, TripleBlind allows operations on data in real-time without needing to generate an anonymized basket of data that is a snapshot of the past. The path from data collection to data usage is significantly faster, cheaper and seamless using blind de-identification. Fewer data preparation steps translate to lower data project costs, less legal paperwork and more powerful insights that use the complete, unaltered data set in the most private way currently possible.

“When we developed TripleBlind’s mathematical breakthrough in cryptography, we were focused on the unique challenges in industries such as healthcare. Our de-identification approach for PHI and genomic data in particular means that even if one patient’s data is used in an operation by a third party, that third party lacks the means to learn anything about the individual besides the output of the operation running on the genomic sequence,” said Riddhiman Das, co-founder and CEO of TripleBlind. “Our system includes several built-in algorithms that can be used for different genomic applications, including random forest trees, lasso regression, ridge regression, neural networks and topological data analysis, alongside the ability to write custom algorithms.”

 

About TripleBlind

TripleBlind’s patented breakthroughs in advanced mathematics arm organizations with the ability to share, leverage and commercialize regulated data, such as PII and PHI, and mission-critical enterprise data, such as medical records. With TripleBlind, decision-makers generate new revenue for their organizations by gaining deeper insights faster, creating improved modeling and analysis, and collaborating more effectively with customers and partners and even competitors, while enabling enterprises to enforce today’s regulatory standards, such as HIPAA, GDPR and PDPA. 

For more information, please visit tripleblind.ai.

 

Contact information:

Victoria Guimarin
UPRAISE Marketing + Public Relations for TripleBlind
tripleblind@upraisepr.com
Tel: +1 (415) 397-7600

TripleBlind’s Riddhiman Das to Host Webinar with Accenture’s Cecil Lynch; Will Discuss Strategies for Advancing Healthcare Innovation with Private Data Sharing

WHO:
Riddhiman Das, Co-founder and CEO, TripleBlind
Cecil Lynch, Chief Medical Information Officer, Accenture

WHAT:
On May 25, Das and Lynch will discuss Accenture’s collaboration with TripleBlind and how the healthcare industry can use data sharing to speed up innovation, predict future diagnosis, and reduce complexities associated with internal and external data sharing, which often includes sensitive PII.

WHY:
Private data sharing between organizations can facilitate rapid innovation in healthcare, especially by enabling AI development using previously inaccessible data. TripleBlind accelerates data sharing and collaboration and creates efficiencies by dramatically reducing arduous processes, long delays and high costs often involved with data sharing today. 

WHEN:
Tuesday, May 25, 2021
Strategies for Advancing Healthcare Innovation by Keeping Sensitive
Data Private
12:00 pm (CT)

WHERE:
Participants can register for the webinar here.

 

About TripleBlind
TripleBlind’s patented breakthroughs in advanced mathematics arm organizations with the ability to share, leverage and monetize regulated data, such as PII and PHI, and mission-critical enterprise data, such as tax returns and banking transactions. It unlocks the estimated 105 petabytes of data stored by enterprises today that are inaccessible and unmonetized due to privacy concerns and regulations. With TripleBlind, decision-makers generate new revenue for their organizations by gaining deeper insights faster, creating improved modeling and analysis, and collaborating more effectively with customers and partners and even competitors, while enabling enterprises to enforce today’s regulatory standards, such as HIPAA, GDPR and PDPA. 

For more information, please visit tripleblind.ai

 

TripleBlind Contact:
Victoria Guimarin
E-mail: tripleblind@upraisepr.com
Phone: +1 510.331.9548

TripleBlind Joins the Snowflake Technology Partner Program, Supplements Innovative Cloud Security Infrastructure with Private Data Sharing

Snowflake Customers Can Safely Share Sensitive Data and Improve the Effectiveness of AML Initiatives, Healthcare Diagnoses and Finance Applications

TripleBlind Natively Supports Snowflake via JDBC, No Integration Required

KANSAS CITY, MO., May 4, 2021TripleBlind announced today its partnership with Snowflake, the Data Cloud company, to empower joint customers to run TripleBlind’s API-driven virtual exchange solution that enables data owned by one enterprise to run specific operations on data owned by another enterprise, on Snowflake’s platform. 

“Snowflake’s platform includes multiple features such as dynamic data masking and end-to-end encryption, leveraging sophisticated cloud security technology to secure data both in transit and at rest,” said Riddhiman Das, co-founder and CEO of TripleBlind. “TripleBlind’s private data sharing builds on this strong foundation by allowing the data consumer to analyze and generate insights from sensitive data without decrypting it. With these insights, financial institutions create more effective anti-money laundering initiatives and healthcare systems that improve the quality of their diagnoses through access to larger, more diverse data sets.”

When a data owner and data consumer agree to private data sharing on Snowflake’s platform, TripleBlind’s solution automatically de-identifies the data and ensures they never move outside the owner’s firewall. The data consumer can only perform operations on the data specifically allowed by the data owner and all computations occur in the encrypted space. TripleBlind’s API-driven virtual exchange keeps intellectual property in an algorithm safe from reverse engineering attempts, while Snowflake’s secure data sharing technology means that data is never required to be moved or copied and is up-to-date. TripleBlind’s platform is architected to natively support data sets stored in the Snowflake Data Cloud, which means customers can seamlessly integrate the solution within their instance.

“Snowflake’s platform enables secure data sharing and the enforcement of privacy regulations to be seamless in the Data Cloud,” said Todd Crosslin, Global Head of Healthcare and Life Sciences, Snowflake. “Our partnership with TripleBlind can give customers the ability to securely share data in a governed way across their organizations and with partners, vendors and customers, without ever needing to move or copy the data.”

 

About TripleBlind

TripleBlind’s patented breakthroughs in advanced mathematics arm organizations with the ability to share, leverage and commercialize regulated data, such as PII and PHI, and mission-critical enterprise data, such as tax returns and banking transactions. It unlocks the estimated 105 petabytes of data stored by enterprises today that are inaccessible and unutilized due to privacy concerns and regulations. With TripleBlind, decision-makers generate new revenue for their organizations by gaining deeper insights faster, creating improved modeling and analysis, and collaborating more effectively with customers and partners and even competitors, while enabling enterprises to enforce today’s regulatory standards, such as HIPAA, GDPR, PDPA and other regulatory standards. 

For more information, please visit tripleblind.ai.

 

Contact information:

Victoria Guimarin
UPRAISE Marketing + Public Relations for TripleBlind
tripleblind@upraisepr.com
Tel: +1 (415) 397-7600

 

 

TripleBlind Receives Investment from Mayo Clinic, Expanding Current Collaboration

KANSAS CITY, Mo., April 27, 2021 (GLOBE NEWSWIRE) — Today, TripleBlind announced that it expanded its collaboration with Mayo Clinic, which invested in a seed extension round, the only investor participating. TripleBlind recently announced that it raised $8.2 million in a significantly oversubscribed seed funding round. Mayo Clinic joins Accenture Ventures, Okta Ventures, NextGen Venture Partners, Operator Partners, Wavemaker Three-Sixty Health, AVG Basecamp Fund, Anorak Ventures, Quiet Capital, Clocktower Technology Ventures, Parity Responsible Technology Fund and Manresa Ventures as a TripleBlind investor.

“As part of our mission to commercialize innovative technologies for the benefit of patients worldwide, we are furthering our collaboration with TripleBlind through this investment,” said Andy Danielsen, Chair, Mayo Clinic Ventures.

TripleBlind is collaborating with Mayo Clinic on data-analysis, algorithm training and validation on one-way encrypted data and on next generation algorithm sharing. Mayo Clinic researchers are using TripleBlind’s tools to validate interoperability of encrypted algorithms on encrypted data and the training of new algorithms on private data.

TripleBlind’s API-driven virtual exchange solution is based on breakthroughs in advanced mathematics, which the Mayo Clinic team is using and validating. TripleBlind is not accessing any Mayo Clinic data.

“TripleBlind’s API-driven virtual exchange solution accelerates how organizations develop, test and deploy AI solutions in healthcare, and leverage third party data amidst heavily regulated privacy concerns,” said Riddhiman Das, co-founder and CEO of TripleBlind. “We believe Mayo Clinic’s investment further supports our approach and we’re excited to continue our collaboration to deploy TripleBlind’s encryption tools and work on real-world applications.”

TripleBlind’s solution functions as the innovative data encryption conduit that keeps the data and intellectual property in the algorithm secure and addresses the issue that today, healthcare systems have to either transfer data or algorithms outside their institution for experts to train or conduct research. The encryption conduit Mayo Clinic is evaluating will eliminate the need for data transfer or for sharing the algorithm, thus protecting intellectual property and data.

The collaboration is also seeking to demonstrate that TripleBlind’s toolset can be applied to train and develop entirely new algorithms from independent entities anywhere in the world without the need to share raw data, thus preserving privacy and security while meeting regulatory standards.

 

About TripleBlind

TripleBlind’s patented breakthroughs in advanced mathematics arm organizations with the ability to share, leverage and monetize regulated data, such as PII and PHI, and mission-critical enterprise data, such as tax returns and banking transactions. It unlocks the estimated 105 petabytes of data stored by enterprises today that are inaccessible and unmonetized due to privacy concerns and regulations. With TripleBlind, decision-makers generate new revenue for their organizations by gaining deeper insights faster, creating improved modeling and analysis, and collaborating more effectively with customers and partners and even competitors, while enabling enterprises to enforce today’s regulatory standards, such as HIPAA, GDPR and PDPA.

For more information, please visit tripleblind.ai.

 

Contact information:

Victoria Guimarin
UPRAISE Marketing + Public Relations for TripleBlind
Tel: +1 (415) 397-7600
tripleblind@upraisepr.com