Eve Security

Eve Security is a technology firm that has developed an agentic AI observability and policy enforcement platform named EveGuard. The company was founded in 2025 by CEO Nadav Cornberg, CRO Sharon Eilon, and CTO Amit Eliav and is headquartered in Austin, Texas. In September 2025, Eve Security announced it had raised $3 million in a seed funding round led by LiveOak Ventures with participation from Tau Ventures. This capital is intended to support further product development and the expansion of its go-to-market strategy.

The company's core product, EveGuard, is designed to address the security risks associated with the increasing use of autonomous AI agents within enterprises, particularly so-called "shadow AI agents" that operate without official sanction. It provides real-time observability, policy enforcement, and risk control over the actions of AI agents as they interact with a company's critical business systems, data, and applications. A key feature of the platform is what the company describes as the industry's first Agent-in-the-Loop (AITL) system. This system, named Eve, is designed to detect anomalies, assess risks, cluster requests, and interrogate other agents, effectively acting as an automated security analyst.

Eve Security's platform is built to give Chief Information Security Officers (CISOs) visibility and control over AI agent behavior, helping to prevent issues like data leakage, prompt injection, and model misuse. It supports protocols such as Model Context Protocol (MCP) and Agent-to-Agent (A2A) to provide deep insights into AI interactions. The platform can define and enforce policies that consider the intent and data within agent requests, a capability aimed at overcoming the security blind spots that can arise from policies based on natural language. The system can be deployed without requiring new infrastructure, allowing clients to gain value from day one. Eve Security aims to serve enterprises that are adopting AI technologies at scale, particularly in sensitive environments like finance, healthcare, and security, ensuring compliance and auditability.

Keywords: agentic AI security, AI observability, policy enforcement, Agent-in-the-Loop, AITL, shadow AI, AI governance, risk control, data leakage prevention, model misuse detection, enterprise AI security, cybersecurity, autonomous agents, Model Context Protocol, Agent-to-Agent protocol