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A primary objective for Protegrity and Servian is securing data for companies using Snowflake, a cloud data platform provider and Protegrity partner. Snowflake has grown rapidly in the ANZ market and its partnership with Protegrity enables customers to deploy Protegrity’s data de-identification technology to protect any data housed in Snowflake’s managed cloud data warehouse.
Protegrity has partnered with Latbc, a leading technology consulting firm headquartered in Mexico City, to bring the Protegrity Data Protection Platform to enterprises in the Latin American (LATAM) market across banking, financial services, retail, healthcare, and other industries.
Mariana Iriarte at Datanami included Protegrity’s executive leadership updates, particularly the additions of Eliano Marques and Scott Fleming to the team, in her recent roundup article of people on the move: Big Data Career Notes: November 2020 Edition.
At Skyflow, our focus is on radically simplifying how companies manage, access and govern sensitive customer data. In the last 12 months, we have seen the emergence of a new category: the data privacy vault with Skyflow as its flag bearer. Today, we are happy to announce a big step forward in our ability to achieve our vision: our $17.5 million Series A, led by Canvas Ventures. With the $7.5M seed led by Foundation Capital announced in May, that brings our total raise to $25 million.
UK businesses are “ahead of the curve” when it comes to the adoption of hybrid cloud, a new report from Nutanix states. The cloud company recently released its third global Enterprise Cloud Index, based on a poll of 3,400 IT decision-makers around the world. In the report, Nutanix argues that UK businesses are faring better in terms of cloud adoption, compared to the rest of Europe.
Regulation surrounding artificial intelligence technologies will likely have a growing impact on how companies store, secure, and share data in the years ahead. The ethics of artificial intelligence (AI), particularly facial recognition, by law enforcement authorities, have received a lot of attention. Still, the US is just at the beginning of what will likely be a surge in federal and state legislation regarding what companies can and cannot do regarding algorithmically derived information.
