Summary
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What this means for you
For Chinese readers who work at US companies, the article focuses on a security platform that controls what AI agents can reach inside corporate data stores, including inherited permissions. It says each customer gets classification tuned to its business and an identity map of people, service accounts and AI agents that can reach a dataset. The company says only a small minority of organizations have governance in place to control what those agents touch, and it describes removing stale and high-risk data and giving agents only the minimum access their work calls for. If an employer uses such a platform, an agent that reaches sensitive data it does not normally touch gets flagged, and legal and compliance teams can get a record of everything the agent could have reached after an incident.
Data security startup Sentra Inc. today revealed it has raised $150 million in new funding to expand its platform for controlling what artificial intelligence agents can reach inside corporate data stores.
Sentra, which provides data security software, says its business grew more than 300% over the past year. The platform works on data at rest, wherever an enterprise happens to keep it.
Each customer gets classification tuned to its own business. Alongside that sits an identity map of which people, service accounts and AI agents can reach a given dataset, inherited permissions included.
Every AI agent a company switches on is another identity reading its data, often around the clock, with no central control plane overseeing it. Sentra expects agent counts at large enterprises to climb steeply over the next few years. Only a small minority of organizations have governance in place to control what those agents touch, according to the company.
Sentra co-founder and Chief Executive Yoav Regev called agents “the busiest consumers of enterprise data.” In Regev’s view, many of them inherit access to data that has never been fully classified or governed, and traditional perimeter controls were not built for agents moving at machine speed. “What organizations can do is make sure the data those agents reach is already secured,” he said.
To get there, Sentra removes stale and high-risk data that no agent has any reason to see, and service accounts and agents get only the minimum access their work calls for. An agent that later reaches for sensitive data it does not normally touch gets flagged. The platform can then strip the permissions or sharing involved on its own, and the worst cases are passed to whoever owns the data.
After an incident, legal and compliance teams get a record from Sentra of everything the agent could have reached, including business context on each dataset.
The analysis behind all of this happens inside the customer’s own environment, so sensitive data never leaves it. Sentra contends that tools that copy customer data into a vendor’s environment leave buyers with a second data estate to protect, adding retention and residency risk in regulated industries.
Product spending from the round will focus on visibility into the agents, copilots and models touching sensitive data. Faster containment is another priority, for cases where an agent behaves unexpectedly. Commercially, Sentra plans to scale its field and channel programs and push into new geographies.
Capital One Financial Corp.’s venture arm, Capital One Ventures, led the Series C round and will place a representative on Sentra’s board of directors. Existing investors Bessemer Venture Partners LP, Zeev Ventures, Standard Investments Inc., Munich Re Ventures and Key1 Capital also participated. Key1 led a $50 million Series B round for the company in April 2025. Sentra did not disclose a valuation.
Regev started Sentra in 2021 with Asaf Kochan, Ron Reiter and Yair Cohen. Kochan is a former commander of the Israeli military’s Unit 8200, where Regev once headed the cyber department. Including the new round, investors have put more than $250 million into the company since its launch.
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Source: SiliconANGLE
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At your workplace, do you know which AI agents or copilots can reach the data you work with, or is that access unclear to you?
