In December 2020, SolarWinds, Inc., a leading provider of network performance monitoring tools, suffered attack from a SUNSPOT malware. It hit not just SolarWinds, but also its clients, including US government agencies and Fortune 500 companies, leaving valuable data assets exposed and compromised.

Data ecosystems provide a deep level of data that allows companies to enhance the sophistication of their data-driven decision making and machine learning models - in theory.

"This trend enables organizations to collaborate on research securely across regions and with competitors without sacrificing confidentiality. This approach is designed specifically for the increasing need to share data while maintaining privacy or security."

What is blocking telcos from leveraging more of their networks, the generated data and machine learning? Two things: data security and data privacy. This is where confidential computing comes into play.

People acknowledge the value of data and the benefits of data collaborations. Yet, concerns about data privacy and security are increasing. To solve these challenges, the leaders in the field of confidential computing establish new technologies to make data collaborations simple and safe.

According to the annual WEF report on global risks, increased cyber-threats is one of the biggest risks that companies and countries face right now. One of the most common is data breach where attackers target the database of the company in order to get access to customer data.