Cloud Native

Sentra Helps Enterprises Get Full Visibility And Control Over Their Data | Yoav Regev

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Guest: Yoav Regev (LinkedIn)
Company: Sentra (Twitter)
Show: Let’s Talk

Sentra was founded two years ago to help connect data, cloud, and security so that organizations can move faster. While cloud is enabling organizations to do this easier and faster, security can get left behind. Sentra wants to help shift the paradigm so that organizations can do both quickly and securely.

“Cloud-led organizations need to move fast to use the data and leverage it but they need to understand the basics first, such as where the data is and who has access to it, compliance, and regulation around privacy,” says Yoav Regev, Co-Founder and CEO at Sentra. Sentra helps solve this by discovering every piece of data organizations have in their cloud at scale so that organizations know exactly what they have and their fully automated catalog of each piece of data provides full visibility of everything. Sentra then finds the risks and helps the organization take action to remediate them before there is an incident.

Data moves and Sentra’s approach is to connect all the dots between any piece of data to another piece of data regardless of if it moves. By connecting all the dots in one place, organizations can gain an understanding of what is going on and take action where necessary. Organizations can see the region and environment of all their pieces of data so that they can tell if someone is touching data from a different region or if it is being moved to a different region, which can help organizations stay compliant with GDPR and other acts.

Organizations are using AI to leverage its capabilities to bring something to their customers. However, there needs to be a balance between moving fast and the compliance and regulation around privacy they need to give the clients. Sentra is helping organizations find this balance by letting organizations create and use technologies like AI but in a way that keeps it private and compliant.

Sentra uses LLM as part of their classification which helps them scale faster and be more accurate. It enables customers to understand what they have in their unstructured data and also to understand what is in documents. The company is also helping customers ensure they are using their AI models safely. They do this by making sure they have full control of any piece of data they use in the models and that sensitive or critical data does not make its way in.

This summary was written by Emily Nicholls.

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