Sentra Leverages LLMs to Boost Unstructured Data Classification

Sentra, the cloud data security leader, is announcing the integration of large language models (LLMs) into its data classification engine, re-envisioning data security as even more proactive, contextual, and visible.

The addition of LLMs into Sentra’s data classification engine enables enterprises to preventively reduce the data attack surface—no matter where it exists in the multi-cloud—through a variety of new capabilities.

“Sentra is committed to innovating and paving the way for strong cloud data security in order to diminish data risks,” said Yoav Regev, co-founder and CEO at Sentra. “By taking a laser-focused approach to cloud data security, Sentra gives enterprises confidence when classifying large volumes of sensitive enterprise data at scale. With the addition of LLM technology, security teams can more accurately detect sensitive information, enabling them to root out data risks wherever they exist.”

Sentra’s LLM-powered classification approach instills greater understanding of the business context of unstructured customer data, offering insights related to data sovereignty and regions, how it will be used, and how it should be protected. This, in turn, encourages better alignment with compliance benchmarks—such as GDPR, CCPA and HIPAA—through a comprehensive catalog of contextual, sensitive unstructured data.

Upon the generation of a comprehensive data catalog, Sentra delivers a prioritized risk scoring that accounts for nuances in data layers, such as data access permissions, activity, sensitivity, movement, and misconfigurations. With the power of LLMs, Sentra can offer a thorough view and robust control of data risk management processes, according to the company.

Sentra’s strategy enables organizations to train their LLMs through its classification engine to classify proprietary data more effectively. On the security front, Sentra only scans data with LLM-based classifiers within the cloud premises of its customer.

“As the world continues to explore the applications of generative AI and large language models, it is important for the cybersecurity industry to not only innovate new applications of LLMs but integrate LLMs to enhance existing security technologies where appropriate,” said Ken Buckler, research analyst at Enterprise Management Associates. “Generative AI holds great potential to improve security risk detection and response, especially when it comes to human behavior. While it is important that we proceed with caution in this brave new AI frontier, we must do so with urgency, as cyber adversaries are also exploring generative AI's potential applications.”

To learn more about Sentra’s latest LLM capabilities, please visit