Cloud data security startup Sentra announced it raised $50 million in Series B funding from Key1 Capital, Bessemer Venture Partners, Zeev Ventures, Standard Investments, and Munich Re Ventures. This brings Sentra’s total funding to over $100 million, enabling further expansion in engineering and enhancing its platform’s features. The Israeli startup aims to improve data security by preventing sensitive data from being exposed through misconfigured AI workflows. The funding will allow Sentra to deepen its AI-driven security measures while scaling its workforce.
Sentra’s platform scans data across AWS, Azure, GCP, and on-premises systems, using large language models to classify content. It flags gaps in policies or permissions that could lead to exposing sensitive information. Initially marketed as a Data Security Posture Management (DSPM) tool, Sentra now includes additional controls focused on securing training sets and AI prompts from personal or restricted data.
This added layer of protection helps secure multi-cloud and AI-driven environments more effectively.
The startup’s unique approach scans data within customers’ environments, preserving their security posture while reducing operational costs and the need for extensive data scanning. Sentra’s solution provides complete cloud data coverage, ensuring the integrity of sensitive information. The company highlights the growing demand for securing AI data pipelines, especially with the rapid increase in generative AI use. Sentra’s solution automates the discovery of shadow data before it can be processed by model builders or analytics pipelines.
Sentra’s annual revenue has surged over 300 percent, with Fortune 500 customers adopting its technology for AI-related projects. CEO Yoav Regev emphasized that the security of AI systems depends on the data they are trained on. As more businesses transition to AI-driven solutions, Sentra positions itself as a key player in safeguarding multi-cloud environments and AI models from data breaches or misuse. The company is gaining attention among other startups offering machine learning tools to manage digital asset security.
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