Run Ventures leads new funding as recent AI security incidents validate Eve’s early bet that enterprises need to understand and control autonomous agents while they act
Austin, TEXAS, September 15, 2026 — Eve Security, the runtime security company built to identify and stop dangerous AI agent behavior in real time, today announced $4.5 million in new funding led by Run Ventures, with participation from Dreamit Ventures and Blu Ventures and continued investment from LiveOak Ventures. This extended seed round brings Eve Security’s total raise to $7.5 million.
The funding marks an important inflection point for Eve. After spending the past year validating its approach to securing AI agents at runtime, the company is seeing growing enterprise demand for technology that can govern what autonomous agents actually do once they are connected to sensitive data, applications and infrastructure. Enterprise customer and investor interest are spiking on the heels of OpenAI’s disclosure that models undergoing a cybersecurity evaluation escaped their testing environment, exploited a previously unknown zero-day to reach the internet and ultimately compromised Hugging Face’s production infrastructure.
“Agents are becoming extraordinarily capable, and enterprises are giving them access to increasingly valuable systems. The OpenAI incident showed what can happen when an agent’s pursuit of an objective takes it somewhere its creators never intended,” said Nadav Cornberg, co-founder and CEO at Eve Security. “You cannot secure that world simply by deciding in advance what an agent should and shouldn’t do. You have to understand what it is doing, why it is doing it and have the ability to intervene while it is happening.”
AI agents represent a fundamentally different security challenge. Traditional cybersecurity tools were built to understand users, identities, endpoints, applications and infrastructure. They can detect a compromised credential, but they were not designed to determine whether a series of individually legitimate actions by an autonomous agent represents reasonable execution of a task or the beginning of dangerous behavior. Eve provides the governance, observability and runtime controls enterprises need to safely deploy those agents, including the ability to interrogate high-risk or anomalous activity and intervene before an agent’s action reaches a critical system.
That approach was reinforced during the fundraising process. RUN.VC introduced Eve to a diverse group of CISOs, whose feedback helped validate both the urgency of the problem and enterprise demand for a new runtime security layer for AI.
“AI runtime security is developing into a significant new security category, and we believe there will be multiple important companies built in this market,” said PT Ungvichian, Run Ventures. “Eve recognized early that securing autonomous systems requires understanding and controlling behavior at runtime, and the company is exceptionally well positioned to capitalize on that shift.”
“We had high conviction in the technical thesis. What we wanted next was market proof,” said Cornberg. “We’re now seeing that pull directly from CISOs and customers. This round lets us put significantly more resources behind turning that early demand into a repeatable business.”
Eve began go-to-market efforts in January, and today its customers are expanding their use of the platform, providing early evidence that runtime agent security is becoming a persistent enterprise requirement rather than a point solution.
Eve is rapidly expanding its platform to secure increasingly complex and autonomous agent deployments. New capabilities include session tainting, which continuously adapts and restricts agent operations based on exposure to sensitive data and prior actions, alongside expanded discovery, enforcement, and automated remediation across Databricks, Glean, Microsoft Copilot Studio, Amazon AgentCore, and Amazon Bedrock. Eve also transforms security policies into a deterministic enforcement layer, allowing more than 85 percent of policy-matched requests to be evaluated and enforced deterministically. For decisions requiring deeper analysis, Eve enriches enforcement with real-time context from identity providers, DLP systems, and data platforms such as Databricks and Snowflake, combining deterministic controls with contextual intelligence for precise runtime governance.
The new funding will primarily accelerate Eve’s go-to-market expansion and revenue growth. Over the next 12 to 18 months, the company intends to demonstrate across multiple enterprise customers that its approach to runtime AI security produces repeatable, measurable results.
About Eve Security
Eve Security provides runtime security and governance for enterprise AI agents. Its Agent-in-the-Loop approach gives organizations real-time visibility into agent activity, automatically interrogates high-risk or anomalous behavior, enriches decisions with enterprise security context and enforces controls before agents take consequential actions. Eve enables enterprises to scale autonomous AI while maintaining the security, governance and accountability required for production environments. Learn more about Eve Security at: https://eve.security/
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