The surge in generative AI use across industries has triggered an invisible data crisis. With cloud platforms sprawling and employees experimenting with AI tools faster than IT can track, sensitive corporate data is being exposed in new and unpredictable ways. For most organizations, the scale of the problem is still poorly understood—and increasingly, ungovernable.
Enter Sentra, an Israeli cybersecurity company that just raised $50 million in Series B funding, bringing its total capital to more than $100 million. The round, led by Key1 Capital with participation from Bessemer Venture Partners, Zeev Ventures, Standard Investments, and Munich Re Ventures, reflects mounting investor urgency around data security posture management (DSPM)—a space that is now considered critical infrastructure in the age of AI.
The company was co-founded by Asaf Kochan, President of Sentra and former Commander of Unit 8200; Yoav Regev, CEO and former Head of Cyber Department in Unit 8200; Ron Reiter, CTO and seasoned entrepreneur with a strong cybersecurity background; and Yair Cohen, VP of Product, who previously held senior leadership roles at Microsoft and Datadog.
Sentra employs 85 people, including 60 in Israel. It is active in a sector that includes several Israeli companies of the likes of Cyera, BigID and Varonis.
Sentra’s technology helps enterprises discover, classify, and secure sensitive data across cloud environments—including data inadvertently used in generative AI applications. The new funding, announced Tuesday, comes as the company claims a 300% year-over-year revenue increase and the addition of several Fortune 500 customers.
AI is accelerating data exposure. The old defenses don’t work.
For most organizations, the move to the cloud was already a security challenge. Now, the shift toward generative AI tools has created an epidemic of “shadow data”—information that flows freely across environments, often without oversight or accountability.
According to Gartner, enterprise adoption of GenAI is expected to trigger a 15% jump in cybersecurity spend by 2025. Sentra’s mission is ambitious: to redefine how enterprise data is secured in the AI age. Sentra’s platform scans customers’ cloud environments natively—without moving the data—and uses large language models (LLMs) to classify and contextualize information with over 95% accuracy, according to the company.
“AI is only as secure as the data behind it. Every organization we work with is racing to leverage AI but is equally as concerned about exposing sensitive data,” says Yoav Regev, Sentra’s CEO. “Sentra gives them the reassurance and confidence they need to move fast by securing data at every stage.”
Sentra’s rise comes as DSPM—once an obscure cybersecurity niche—is becoming an urgent enterprise priority. Analysts say the proliferation of SaaS tools, multi-cloud architectures, and AI assistants has left most companies without a clear picture of what data they hold, let alone how it’s secured.
That ambiguity is fertile ground for breaches. According to IBM, the average cost of a data breach hit $4.88 million this year, much of it driven by misconfigured or unknown data assets.
Sentra’s customers now span financial services, insurance, healthcare, pharma, and technology—industries where the reputational and regulatory risks of data leaks are enormous. And with the new funding, the company plans to expand its capabilities, adding features that identify data at risk of being misused by AI agents or accessed through unsanctioned applications.
“We’re doubling down on helping enterprises secure their data everywhere and adopt AI confidently so they can innovate without compromising trust,” added Regev.