The breach is a reminder of Facebook’s ability to collect troves of personal information on its users, as well as the challenges it faces in securing such sensitive data. The incident is a reminder of Facebook’s tumultuous history when it comes to data privacy.
In order for data-sensitive organizations to stay fully protected from ongoing threats, they must be thinking further –– beyond their cloud infrastructure. The hardware component is still missing from the equation. In this article, I’ll answer some commonly asked questions I often receive regarding the need for hardware when it comes to protecting hybrid cloud environments.
Hub Security’s Cloud Servers and MiniHSM Will Now Support MetaMask and DeFi
The Company has stated that as of today it has received indicative letters of intent from institutional investors for the investment of approximately USD 65 million from institutional investors into the merged entity
The financial sector’s ongoing digital transformation and COVID-induced cloud reliance have caused the sector’s attack surface to grow exponentially, exposing organizations to increased levels of cyberthreat activity. Another key accelerator to all this is the fact that the Covid-19 pandemic is likely to cause a sharp wave of poverty, invariably leading to higher rates of cybercrime in the coming years.
Confidential computing is secure computing technology that is designed to ensure that sensitive data in use remains safe, confidential, and accessible to authorized users. Confidential computing eliminates the remaining vulnerabilities created by loosely-defined security protocols, weak perimeter filtering, and inadequate isolation tactics, by protecting data when it is processed in an external and non-secure environment
Hub Security is offering Tezos bakers to receive a secured solution with physical protection and 24/7 availability for their Tezos custody.
We had the pleasure of hosting amazing and insightful speakers on our 5G and Edge Computing Summit on December 17th 2020.
Confidential Computing and AI Summit by HUB Security. We had the pleasure of hosting amazing and insightful speakers on our first Confidential Computing and AI Summit on December 3rd 2020.
This week we’re addressing confidential computing. In honor of our upcoming event Confidential Computing for Cloud Privacy’ we sat down with Mr. Stefano Tempesta, From Microsoft Azure Confidential Computing team to learn more on cloud services, privacy and cyber security.
With healthcare providers requiring constant access to patient data, the fear of potential data leaks is already high and efforts to safeguard patients are driving higher security budgets across the sector. Edge computing means security along the network perimeter is decentralized, forcing enterprises to be far more vigilant of the privacy of end-users –– as well as compliant to increasingly stringent regulation.
Last week we had the pleasure in hosting a panel of experts in federated learning, AI and data cybersecurity. In case you missed it, watch the full recording below or listen to the Spotify podcast
We sat down with Mr. Abdul Rahman Sattar, Lead Architect of Cybersecurity Analytics at TELUS to get some insights on the state of security when it comes to AI/ML federate learning.
The HUB Vault is an ultra-secure hardware and software confidential computing platform designed to protect your most valuable legacy systems and applications. The programmable and customizable MultiCore confidential compute platform enables companies a simple, flexible, and scalable digital transformation to the cloud regardless of legacy model.
Last week we had the pleasure in hosting a panel of experts in healthcare cybersecurity. In case you missed it, watch the full recording below
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