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Confidential Computing for Cloud Privacy
Hub Security is excited to host Mr. Stefano Tempesta, Microsoft Azure- Confidential Computing team, to speak at our "Confidential Computing for Cloud Privacy" online event.
Stefano will join the session on confidential computing and how it addresses data protection in use and multi-party data sharing.

Stefano Tempesta, Building Azure confidential computing, Microsoft
Andrey Iaremenko, CTO and co-founder, HUB Security

Shterny Isseroff, Freelance writer and journalist

May 20, 2021 09:00 AM in Eastern Time (US and Canada)

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Stefano Tempesta
Building Azure Confidential Computing @Microsoft
Stefano Tempesta works at Microsoft in the Azure Confidential Computing product group to make the Cloud a more secure place for your data and apps. Additionally, as an advisor to the Department of Industry, Australia, on the National Blockchain Roadmap, his current focus is on helping people gain and own their digital identity. Stefano is also a technology advisor at Carbon Asset Solutions, a climate action and sustainability network with a mission to slow carbon dioxide emissions and remove excess atmospheric CO2 by using regenerative agriculture technologies.
Andrey Iaremenko
CTO and Co-Founder @HUB Security
During his 13 years of service in the 8200 elite unit, Andrey obtained extensive experience in RF design and manufacturing, boards, embedded programming, FPGA design, hardware design, and implementation. During his military service and later as Chief Architect at Elbit’s Sigmabit Cyber Company, Andrei was confident in the Group's vision alongside meeting customer requirements for cyber, defensive and offensive products. Andrey graduated Tel Aviv University with a B.Sc. in Electrical and Electronic Engineering with a focus on communication signal processing. He has a solid technical foundation in software and hardware development, separately and combined, with fast learning abilities while adopting innovative technologies into existing systems or incorporating them into new technologies, based on prior knowledge and ongoing research at any given moment.