Even if the epidemic has sped up the transition to the cloud, it is still proceeding at full speed. Gartner predicts that by 2025, more than 95% of all new digital workloads would be delivered on cloud-native platforms, up from 30% in 2021. One reason is because cloud systems are accessible from anywhere, making them great for distributed or hybrid teams. However, not everything is roses and unicorns. The risk of data breaches is further amplified by the cloud’s widespread use.
Existing concern is substantial. A recent Statista poll found that public cloud data loss and leakage are among the top worries of businesses in terms of their IT infrastructure. The inadvertent disclosure of data stored in the public cloud is a source of concern for 93% of companies.
Sentra is one of the firms working to solve the cloud’s security problems; it searches for data in the cloud, categorises it based on its sensitivity, and then provides repair solutions to data security teams. Sentra, a cloud security company, has now received a total of $53 million after closing a $30 million Series A round headed by Standard Investments and included contributions from Munich Re Ventures, Moore Strategic Ventures, Xerox Ventures, INT3, Bessemer Venture Partners, and Zeev Ventures.
Sentra’s CEO and co-founder Yoav Regev has said that the company would use the newly acquired funds to invest in new product development and to increase the company’s global presence.
One of the most impressive technical developments in recent history, the cloud offers unprecedented degrees of adaptability. Regev told TechCrunch in an email interview that the flexibility of cloud computing presents risks for enterprises, including the potential loss of control and visibility over their most sensitive information. To address this issue, we developed a method to help businesses prioritise the security of confidential data in the cloud without sacrificing performance or slowing down operations.
Once Sentra’s software has connected to an organization’s cloud environments, it will look for sensitive data, such as personally identifiable information and passwords, and try to determine who has access to it and how it is being utilised. Sentra uses algorithms and contextual data including access patterns and metadata to identify instances of data duplication, modification, or movement across areas or networks, and then initiates corrective actions if required.
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