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 Kahn, 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

 

TripleBlind Contact:

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

 

Kam 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

 

 

BC Platforms Partners with TripleBlind to Power Federated Artificial Intelligence (AI) Data Privacy Approaches

Supporting BCP’s contribution to €6.5 million Finnish-led PRIVASA project

20 April 2021 – Zurich, Switzerland and Espoo, Finland – BC Platforms (BCP), a global leader in healthcare data management, analytics and access, announced a new strategic partnership with US-based company TripleBlind  to help drive the development of privacy and intellectual property rights (IPR) preserving “federated AI” for its BCRQUEST.com Global Data Partner Network. The partnership will enhance BCP’s contribution to the Finnish-led PRIVASA (Privacy Preserving AI for Synthetic and Anonymous Health Data) consortium, which recently received EUR €6.5 million in funding by Business Finland to develop methods for the safe utilization of sensitive data.

The two-year PRIVASA project aims to promote access to, and sharing of, anonymised health data to accelerate product development by Finnish health technology companies operating in international markets. BCP will be contributing federated AI learning approaches to train machine learning algorithms without the need to exchange actual data. This method will enable BCP to address data governance and privacy requirements, as individual-level data never needs to leave its institution of origin. BCP’s partnership with TripleBlind will further improve this federated AI concept by ensuring IPR protection, encrypting analyses and results using its proprietary cryptographic technology.

Timo Kanninen, CSO and Founder of BC Platforms, said, “In partnership with TripleBlind, our new federated AI learning platform, which is based upon data from BCRQUEST’s global genomic and clinical database network, could significantly speed up research and development without compromising on patient privacy or IPR. AI has the potential to transform healthcare from a “one-size-fits-all” medicine approach to a personalized one, where individual treatment plans can be tailored for each patient, leading to an improved quality of care and significant cost savings.”

Riddhiman Das, CEO and Co-Founder of TripleBlind, said, “We are excited to be partnering with BCP, coupling our next-generation private data sharing  technology with BCRQUEST’s data network for use in research environments with strict regulatory standards including GDPR, CCPA, and HIPAA. We look forward to enabling the network to share and collaborate with the vast amount of data that today is unaccessible and uncommercialized due to regulatory concerns. By improving privacy, we will enable the use of richer, more diverse third-party clinical and genomic datasets, facilitating the development of more accurate and less biased novel AI-based models.”

BC Platforms is one of the key corporate partners in the PRIVASA consortium, alongside the University of Turku, the Finnish Institute for Health and Welfare (THL) as well as a number of notable industry partners including Bayer, Fujitsu Finland, MVision, PerkinElmer and Polar Electro.

 

About BC Platforms

BC Platforms is a global leader in providing a powerful data and technology platform for personalized medicine, accelerating the translation of insights into clinical practice. Our technology drives the infinite loop between personalized care and research discoveries, leveraging latest science, deep technical expertise, strategic partnerships, and harmonized, diverse data collections. Our high performing genomic data discovery and analytics platform enables flexible data integration, secure analysis and interpretation of molecular and clinical information. Additionally, BC Platforms has developed a Global Data Partner Network BCRQUEST.com, which provides genomic and clinical cohort data for pharmaceutical and medical research and development. BC Platforms’ vision is to build the world’s leading analytics platform for healthcare and industry, providing access to diverse genomic and clinical data and samples from more than 5 million subjects, consolidated from a global network of Data Partners.

Founded in 1997 from an MIT Whitehead project spinoff, the Company has a strong scientific heritage underpinned by over 20 years of working in close collaboration with a network of leading researchers, developers, and industry partners. BC Platforms has global operations with its headquarters in Zurich, Switzerland, research and development in Espoo, Finland, and presence in London, Boston and in Singapore.  For more information, please visit www.bcplatforms.com or follow us on LinkedIn @BC Platforms.

 

About TripleBlind

Vast amounts of data stored by enterprises today are inaccessible and not commercialized due to privacy concerns, operational complexity and regulation. 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, creating new revenue opportunities while controlling data usage and automatically enforcing compliance with GDPR, HIPAA and other privacy regulations. For more information, visit tripleblind.ai.

 

Contact information:

Tero Silvola
BC Platforms AG
Tel: + 358 40 590 5733
Tero.silvola@bcplatforms.com

 

Katja Stout
Scius Communications
Tel: +44 7789435990
katja@sciuscommunications.com

 

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

 

 

Riddhiman Das to Participate in MIT Media Lab Panel on Health Data Privacy Press Release

TripleBlind’s Riddhiman Das to Participate in MIT Media Lab Panel on Health Data Privacy and Data Protection as an Enabler of Innovation

WHO:

Riddhiman Das, Chief Executive Officer, TripleBlind, Mary Nunn, International Privacy Coordinator, Doctors without Borders, Shikha Jain, Asst. professor of Medicine and the Director of Communication Strategies in Medicine at the University of Illinois College of Medicine, Ramesh Raskar, Assoc. Prof at MIT Media Lab, James Smalls, Senior Interaction Designer, IDEO.

WHAT:

On March 11, Riddhiman Das will discuss data privacy and data protection principles by sharing best practices to develop the future of innovative, inclusive and transparent digital health solutions. 

This event is Part 1 of the Institute’s “Healthcare: The Digital Revolution for More Resilient Societies” series.

WHY:

Governments, NGOs, and private entities are playing distinct roles in the digitization of the healthcare sector. Privacy by design in digital health transformation and execution should be adopted as a guiding principle. The goal of this event is to provide leaders in the field with insights from data privacy and data protection experts operating in relevant fields.

WHEN:

Thursday, March 11, 2021
Health Data Privacy and Data Protection as an Enabler of Innovation
MIT Media Lab Events
11:30 am – 1:00 pm (CT)

WHERE:

Participants can register here.

About TripleBlind

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 and PHI, and mission-critical enterprise data, such as tax returns and banking transactions. TripleBlind’s next-generation cryptographic, efficient and scalable privacy and data clean room replaces ineffective workarounds: complex legal contracts, data anonymization/ deidentification, and other technologies such as homomorphic encryption, without violating GDPR, HIPAA, the California Consumer Privacy Act (CCPA) and other privacy regulations. Decision makers generate new revenue for their organizations by gaining new and deeper insights faster, creating improved modeling and analysis with better data, and collaborating more effectively with customers, partners and even competitors for mutual benefit. For more information, visit www.tripleblind.ai.

 

Contact

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

 

TripleBlind Announces $8.2 Million in Seed Funding Press Release

TripleBlind Secures $8.2 Million in Seed Funding, Investor Group Reflects Strong Support for Breakthrough Data Privacy Approach

All Prior Investors Exercise Pro-rata Rights, Highlights Fintech and Healthcare Industries’ Need for Private Data Sharing and Collaboration

TripleBlind Improves AML Initiatives, Accelerates Creation of Accurate Diagnoses, Generates New Revenue Opportunities

Dolby Family Ventures’ Andrew Krowne Joins TripleBlind Board

KANSAS CITY, MO., March 1, 2021TripleBlind, creator of a new rapid, efficient and cost-effective data privacy and API-driven virtual exchange solution, announced today it has closed $8.2 million in seed financing led by Dolby Family Ventures with strategic investment from 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. Existing investors from the first round, including Accenture Ventures, Flyover Capital and KCRise Fund exercised their pro-rata rights and participated in the round, as did several angel investors. The round was oversubscribed.

Closing a new round after completing a pre-seed round last November, combined with the breadth and profile of investors demonstrates the widespread support for TripleBlind’s new, novel data privacy and API-driven virtual exchange approach:

  • All previous investors exercised their pro-rata rights,
  • Wavemaker Three-Sixty Health and Operator Partners are experienced healthcare industry investors,
  • Clocktower Technology Ventures and NextGen Venture Partners open the banking and financial services markets to TripleBlind.

“Okta is on a mission to securely enable any organization to use any technology. A key part of that is providing transparency into how data is being used. TripleBlind will enable our joint customers in regulated industries to leverage enterprise data that today goes largely untapped due to regulations such as CCPA and GDPR, and without compromising consumers’ privacy,” said Monty Gray, senior vice president, Corporate Development at Okta, Inc. “TripleBlind offers synergies with our existing data privacy investments and we are excited to further our relationship to provide added benefits to our customers.”

Collaboration around highly sensitive data can add tremendous value and groundbreaking innovation to address identity, fraud management, macroeconomic analysis, payments and customer success. However, most businesses are limited in their ability to access or share sensitive data due to privacy concerns and government regulations, such as HIPAA, GDPR and CCPA, as well as data residency requirements in regions such as Southeast Asia. TripleBlind’s patented, automatic de-identification and data privacy solution facilitates more efficient and scalable collaboration than alternatives like homomorphic encryption and secure enclaves. 

“With a portfolio of healthcare and biotech companies, many of which face data exchange issues, Dolby Family Ventures is enthusiastic about TripleBlind’s approach that creates and enables a more fluid data sharing process,” said Andrew Krowne, Managing Director. “We appreciate companies that build on strong, novel technical solutions and are thrilled to support TripleBlind’s potential impact across healthcare, financial services and other industries where exchange of sensitive data needs to happen.”

How TripleBlind Works 

TripleBlind encrypts but never decrypts data and algorithms, allowing only approved operations to be executed. Its API-driven virtual exchange ensures compliance for all collaborating parties as they never share raw data. On the other side, data scientists can perform all the operations they ordinarily would without the risk of working with raw data. 

“The return of all previous investors, the breadth of new investors and the oversubscription of the round demonstrate to us that data privacy experts support our new, breakthrough approach for enforcing data privacy while enabling organizations to leverage and gain insights from data,” said Riddhiman Das, co-founder and CEO of TripleBlind. “Thanks to our forward-looking investors, TripleBlind can accelerate our mission to free trapped data so enterprises can collaborate while concurrently enforcing data privacy and regulatory standards. 

Relevant News

Contact us today by emailing contact@tripleblind.ai or visiting https://tripleblind.ai/contact/ to learn how TripleBlind’s efficient and cost-effective data privacy and API-driven virtual exchange solution can help your business. 

 

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.

 

Contact

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

 

TripleBlind Achieves HIPAA Compliance Press Release

TripleBlind Achieves HIPAA Compliance for Its Data Privacy Solution; Healthcare Industry Can Now Safely Utilize PHI Information

Healthcare Industry Players Can Accelerate Innovation and Improve Patient Care While Enforcing Privacy and Regulatory Standards; Healthcare Companies and Institutions Can Save Up to $1.5 Million Per Dataset Per Collaborator

KANSAS CITY, MO., Feb. 3, 2021TripleBlind, creator of a rapid, efficient and cost effective data privacy and clean room solution based on breakthroughs in advanced mathematics, announced today it has entered the $3.8 trillion healthcare market now that it has a full suite of HIPAA compliant solutions. This comes on the heels of its announcement that TripleBlind is collaborating with Mayo Clinic researchers who will use TripleBlind tools to train new algorithms on encrypted data and validate interoperability of encrypted algorithms on encrypted data and the.

By eliminating manual anonymization and simplifying the compliance and legal processes around sharing data, healthcare organizations that use TripleBlind solutions can save significant amounts of time, resources and expense. Additionally, TripleBlind’s patented automatic de-identification technology allows utilization of all the available data about a patient, including data elements that had to be stripped off during anonymization, without the possibility of identifying individuals through reverse engineering.

“Some of the largest healthcare data breaches of the past five years have single-handedly impacted as many as 80 million people – almost all of those breaches were outright caused by, or made easier, due to decrypted data,” said Riddhiman Das, co-founder and CEO of TripleBlind. “The healthcare industry still has much work to do concerning properly protecting patient data. TripleBlind’s clean room solution removes most of the risk. It is the only solution that enforces HIPAA compliance with every API call and doesn’t just rely on good-faith adherence to BAA.”

How TripleBlind For Healthcare Works

TripleBlind encrypts, and never decrypts, data or algorithms, allowing only approved operations to be executed. Its virtual clean room ensures compliance for all collaborating parties as they never share raw patient data. On the other side, data scientists can perform all the operations they ordinarily would without the risk of working with raw data.

By eliminating decryption or the manual steps involved with de-identification, TripleBlind enables:

  • Usage of all data without the risk of re-identification;
  • No exposure of any raw health data, but usage of real data for training, inference and analysis;
  • Generalization of algorithms on varied datasets to reduce bias;
  • Normalization and feature engineering of data without breaking privacy;
  • Full interoperability without any hardware dependencies or moving data outside the firewall.

Healthcare Use Cases

TripleBlind’s rapid, efficient and cost effective data privacy and data clean room solution unlocks new opportunities for the healthcare industry, such as:

  • Healthcare companies and institutions can develop more accurate and less biased novel AI models by utilizing richer, more diverse third-party clinical datasets that are currently difficult or impossible to access, while respecting patient privacy;
  • Healthcare institutions and companies can collaborate around data that’s difficult or impossible to de-identify via other means, like genetic and biometric data;
  • Digital health data platforms can allow partners to run their algorithms on its encrypted data with no chance of counter-party data abuse;
  • Research institutes can create new revenue streams by licensing AI diagnostic algorithms without fear of reverse engineering;
  • Hospitals worldwide can get access to sophisticated AI algorithms as compliance with local and regional privacy standards becomes enforceable via an API;
  • Healthcare organizations can deliver digital medicine globally and more easily enforce compliance with global privacy 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.

 

Contact

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