TMCnet News
TripleBlind's Platform Analyzed by Polsinelli PCOrganizations Can Collaborate and Commercialize the Estimated 93% of Data Currently Unavailable, While Avoiding Violations of GDPR, HIPAA and Other Regulatory Standards KANSAS CITY, Mo., Aug. 26, 2021 (GLOBE NEWSWIRE) -- 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:
“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:
“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 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:
HIPAA 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 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:
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, [email protected]. 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 Liz Harding
|

