The shift toward cloud computing and software as a service platforms has revolutionized how businesses operate, offering flexibility, scalability, efficiency and cost savings compared to in-house built services. However, this transformation is not without its Achilles' heel: data privacy and security.
Such a framework for enterprise data not only complicates compliance with privacy laws and security standards but also turns SaaS platforms into attractive targets for cyberattacks and cybercriminals. Some of the largest breaches and leaks in the past decades have been related to SaaS providers and affected thousands of businesses and often millions of individuals.At its core, the traditional SaaS model requires enterprises to relinquish a degree of control and stewardship over their data.
Data-blind SaaS prioritizes data privacy and security by ensuring that enterprises retain control over where their data resides and how it is managed. This model can leverage advanced cryptographic techniques such as threshold cryptography and secure multiparty computation, trusted execution environments, and homomorphic encryption to also process data without exposing it to the SaaS provider or any third party.
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