Sentra Raises $150M to Secure Enterprise Data for AI Agents

Sentra has secured a $150 million strategic capital investment led by Capital One Ventures to expand its data-security platform as enterprises give AI agents access to more business information. Announced November 4, the investment brings Capital One Ventures alongside existing investors Bessemer Venture Partners, Zeev Ventures, Standard Investments, Munich Re Ventures and Key1 Capital.

A Capital One representative will join Sentra’s board. The company says the investment follows more than 300% year-over-year growth, although the announcement does not specify the financial measure behind that figure or disclose a valuation.

The funding targets a problem that becomes more consequential as AI systems move from answering questions to executing work: agents can inherit access to sensitive information that an organization has never fully classified or governed.

Protecting the Data Agents Can Reach

Sentra’s approach begins with data at rest across cloud storage, SaaS applications, warehouses, on-premises file shares and knowledge stores used by AI. It discovers sensitive information, classifies it and maps the people, service accounts and agents able to access it, including through inherited permissions.

That is a different control point from examining every prompt or tool call as an agent acts. A dataset with unnecessarily broad permissions can become accessible to an assistant even when its user never intended to expose it. Reducing that exposure in advance can narrow the consequences of a mistaken instruction or compromised identity.

“AI agents are now the busiest consumers of enterprise data, and many of them inherit access to data that hasn’t been fully classified or governed,” said Yoav Regev, Sentra’s co-founder and CEO, in the announcement. “Traditional perimeter controls weren’t built for agents moving at machine speed. What organizations can do is make sure the data those agents reach is already secured.”

Discovery, Access Governance and Response

Sentra describes three connected stages. Before access occurs, it identifies sensitive records, maps permissions and helps remove redundant, obsolete or high-risk data. During suspicious activity, data-aware detection can flag unusual access and trigger remediation, including revoking access or removing risky sharing. Afterward, investigators can examine the sensitive datasets an identity could have reached.

The platform combines data security posture management (DSPM), data detection and response, data access governance and data loss prevention. Sentra’s DSPM guide provides background on the discovery and exposure-management layer: understanding where data resides, what makes it sensitive and how its security posture creates risk.

Connecting classification with identity matters because neither view is sufficient alone. A highly sensitive file may be appropriately restricted, while a broadly shared folder may contain little of consequence. Prioritization improves when a team can evaluate the information and the authority to reach it together.

Analyzing Information Where It Lives

Sentra says it analyzes customer data within the customer’s environment rather than transferring the sensitive records into a separate vendor-controlled data estate. Its public platform materials describe continuous discovery, classification, data hygiene and access governance as the foundation for AI readiness.

For large or regulated enterprises, that architecture can reduce the need to secure another copy of sensitive information. It does not remove the need to configure permissions, establish coverage and maintain remediation workflows. The announcement’s claims about scale and cost advantages are company statements rather than results of an independently disclosed comparison.

The practical objective is to make the data environment safer before an agent reaches it, then retain enough context to contain and investigate unexpected behavior. This complements controls around agent execution rather than replacing every other layer of AI security.

Capital for Product Expansion and Market Reach

Sentra plans to invest in visibility into agents, copilots and models, continuous least-privilege access for human and non-human identities, and faster containment when an agent behaves unexpectedly. It will also expand field and channel programs, marketing and its geographic reach.

Capital One Ventures describes itself as a strategic investor in data, technology and financial-services companies. Its participation and board representation connect the financing to an investor with a direct interest in how enterprises govern valuable information. The release does not identify a separate commercial deployment agreement with Capital One.

Founded in 2021 and headquartered in New York and Tel Aviv, Sentra was established by Yoav Regev, Asaf Kochan, Ron Reiter and Yair Cohen. The company’s leadership page lists them as CEO, president, CTO and CPO, respectively.

The investment backs a security thesis centered on the information beneath AI systems. As more autonomous software gains access to enterprise resources, knowing what data exists and who or what can reach it becomes a prerequisite for controlling the resulting exposure.