Cloud data security startup Sentra on Tuesday announced $50 million in new investments from Key1 Capital, Bessemer Venture Partners, Zeev Ventures, Standard Investments, and Munich Re Ventures.
The Series B pushes total funding past $100 million and positions the Israeli startup to expand engineering headcount and deepen features that keep sensitive data out of misconfigured AI workflows.
Sentra, which has offices in New York City, said the platform uses in‑place scanning to map data stores across AWS, Azure, GCP and on‑prem systems, classify content with large‑language‑model pattern‑matching, and flag policy or permission gaps that could expose sensitive data.
Originally marketed as a Data Security Posture Management (DSPM) tool, the software now adds controls aimed at keeping training sets and generative‑AI prompts free from personally identifiable or restricted data.
“Unlike traditional infrastructure-dependent solutions, Sentra has a unique layer of protection to enable organizations to scale data security across multi-cloud and AI-driven environments,” the company said in a note announcing the funding.
“Sentra differentiates itself by scanning the data within the customer’s environment, preserving data security posture,” the company added, noting that its technology reduces the operational cost and the scope of data scanning while providing coverage of all cloud data.
Sentra chief executive Yoav Regev said annual revenue grew more than 300 percent and that new Fortune 500 customers are rolling out the technology as part of generative‑AI projects.
“AI is only as secure as the data behind it,” Regev noted, arguing that customers want automated discovery of “shadow data” before it reaches model builders or analytics pipelines.
Sentra is among a cadre of well-funded startups selling machine learning technology and tools to help businesses pinpoint security risks to digital assets in multi-cloud environments.
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