Eve Security Reports $7.5M in Total Recent Funding to Supercharge Runtime Security

Eve Security, the runtime security company built to identify and stop dangerous AI agent behavior in real time, announced it has received $4.5 million in new funding, enabling the company to support its platform along with accelerating Eve's go-to-market expansion and revenue growth.

The funding round was 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 to $7.5 million.

"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."

The funding marks an important inflection point for Eve as the company is rapidly expanding its platform to secure increasingly complex and autonomous agent deployments, the company said.

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% of policy-matched requests to be evaluated and enforced deterministically, according to the company.

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.

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, said the vendor.

"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."

For more information about this news, visit https://eve.security.