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The rising scale and global utilization of information have inflated the value of data as companies worldwide are scrambling to harness its growing power.
These large amounts of data, however, call for upgraded security and privacy to keep these large caches of information safe from unwanted eyes. Skyflow Inc. is a data privacy vault company, working to simplify how companies isolate, protect and govern their customers’ sensitive information.
“We think there’s a value proposition here for companies to protect their customer’s data and do it by using a vault,” said Anshu Sharma (pictured), co-founder and chief executive officer at Skyflow. “The vault architecture essentially helps you do privacy by engineering rather than what I call privacy by design, which is ‘let’s hope and pray that things happen the right way.’”
Sharma spoke with industry analysts Dave Vellante and Lisa Martin at Snowflake Summit, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how Skyflow keeps its clients’ information private, how it allows its organizations to satisfy multiple data requirements at once and how the company is tackling artificial intelligence. (* Disclosure below.)
The secret sauce to the vault, Sharma said, is in the polymorphic and encryption engine. Essentially, it means sensitive data is still searchable when stored in the vault, even when encrypted.
“Imagine you’re calling up your pharmacy or airline and they say, ‘we can’t see your data, but how do we find your account number?’” Sharma said. “Because of the polymorphic encryption tokenization, in real-time, they can search for you, and they can send you a text to confirm, and they can do all of those things without the call center guy ever seeing your data.”
Skyflow has many large-name customers, including IBM Corp. and Lenovo Ltd. Although the company has been in the market for only two years, it has found uses in critical industries such as healthcare. Sharma listed an example of trying to find patients to enroll for a clinical trial, which was, historically, a manual process.
“Using Skyflow technology, Science 37, a clinical trials platform, they’re able to do that with what I call anonymized reach,” Sharma said. “Using Skyflow plus Snowflake, you can do all that analysis anonymously. You can run the workflows to reach out. The 400 people that say yes, you can then enroll them. You can even run the clinical trial pseudo-anonymously.”
Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of Snowflake Summit:
(* Disclosure: Snowflake Inc. and Skyflow Inc. sponsored this segment of theCUBE. Neither Snowflake/Skyflow nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
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