Datamation content and product recommendations are
editorially independent. We may make money when you click on links
to our partners.
Learn More
One of the most commonly cited challenges about moving to the cloud is about security.
How do you secure content in a multi-tenant cloud environment that you don’t directly control?
Cloud Storage and Backup Benefits
Protecting your company’s data is critical. Cloud storage with automated backup is scalable, flexible and provides peace of mind. Cobalt Iron’s enterprise-grade backup and recovery solution is known for its hands-free automation and reliability, at a lower cost. Cloud backup that just works.
SCHEDULE FREE CONSULT/DEMO
That’s the challenge that new startup AlephCloud is aiming to solve. AlephCloud is still a company in stealth mode, but it is already attracting interest. This week the company announced a $7.5 million Series B round of financing, bringing the company’s total financing to $9.5 million.
AlephCloud CEO Jieming Zhu was formerly the Chief Technologist in the Office of the CTO at HP’s StorageWorks Division and had previous stints with Brocade and Xsigo Systems.
In Zhu’s opinion, structured business processes and workflow that work on-premise can encounter issues when moving to the cloud.
“You cannot see the data when it goes to the cloud and you cannot control the data when it is in the cloud,” Zhu told Datamation. “You don’t know who else can access the data, so you as the fiduciary custodian of the data are responsible for the data, yet it is controlled by someone else.”
That’s the problem that AlephCloud is aiming to solve. Namely, giving enterprises control of cloud data in a manner that can satisfy security risks and concerns.
“Our idea is to make it a trustworthy cloud, so that cryptography can work with zero knowledge,” Zhu said. “So data in the cloud is absolutely secure, so much so that no one can access the data or the encryption key and you also have data providence and total chain of custody over the data.”
Zhu noted that part of the AlephCloud solution will leverage open source components, though the bulk of the product will be home grown. He stressed that AlephCloud will be taking a different approach than others have taken to date for the problem of cloud data security.
Today there are two primary models for deploying content security in the cloud. One of them is the Exclusive model, where all data that moves to the cloud is encrypted and is only decrypted when it comes back into the enterprise’s own data center.
“That’s a great way of protecting your own data, but how are you going to collaborate with your customers and your clients? ” Zhu said.
The other model is what Zhu refers to as the ‘Trust Me’ model. In that approach, the cloud holds all the data and the enterprise needs to trust that the cloud provider handles security appropriately.
“Neither model is really adequate, so we are taking a different approach to ensure zero knowledge for data privacy as well as data providence,” Zhu said.”
Sean Michael Kerner is a senior editor at Datamation and InternetNews.com. Follow him on Twitter @TechJournalist.
-
Ethics and Artificial Intelligence: Driving Greater Equality
FEATURE | By James Maguire,
December 16, 2020
-
AI vs. Machine Learning vs. Deep Learning
FEATURE | By Cynthia Harvey,
December 11, 2020
-
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
-
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
-
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
-
Top 10 AIOps Companies
FEATURE | By Samuel Greengard,
November 05, 2020
-
What is Text Analysis?
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
-
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
-
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
-
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
-
Top 10 Chatbot Platforms
FEATURE | By Cynthia Harvey,
October 07, 2020
-
Finding a Career Path in AI
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
-
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
-
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
-
Top 10 Machine Learning Companies 2021
FEATURE | By Cynthia Harvey,
September 22, 2020
-
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
-
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
-
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
-
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
-
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
SEE ALL
CLOUD ARTICLES