Eve Security: Funding, Valuation and AI Agent Security
Eve Security is a cybersecurity startup building runtime security and governance for autonomous AI agents. Its EveGuard platform gives enterprises visibility into agent activity and helps detect risky behavior, investigate suspicious actions and enforce security policies before agents interact with sensitive data, applications and business systems.
Visit Eve Security ↗Basic Information
| Field | Details |
|---|---|
| Company Name | Eve Security |
| Category | Cybersecurity / AI Agent Security |
| Founded | 2025 |
| Headquarters | Austin, Texas, United States |
| Founders | Nadav Cornberg, Sharon Eilon and Amit Eliav |
| CEO | Nadav Cornberg |
| Core Offering | Runtime security, AI agent monitoring, risk detection and policy enforcement |
| Core Product | EveGuard |
| Initial Seed Funding | $3 million in September 2025 |
| Latest Announced Funding | $4.5 million seed extension in September 2026 |
| Total Reported Funding | $7.5 million across the two reported seed financings |
| Investors | LiveOak Ventures, Tau Ventures, Run Ventures, Dreamit Ventures and Blu Ventures |
| Valuation | Current valuation not publicly confirmed by the company |
| Website | eve.security |
What Eve Security Does
Real-Time Agent Monitoring
Eve Security monitors AI agent activity as agents interact with tools, APIs and enterprise applications. This helps security teams understand what agents are doing while they execute tasks.
Risk Detection and Investigation
The platform identifies unusual or potentially risky behavior and helps investigate suspicious requests. Its Agent-in-the-Loop approach is designed to assess risk without requiring security teams to manually inspect every agent action.
Policy Enforcement
EveGuard helps enterprises apply security policies based on business intent and data context, limiting actions that could expose sensitive information or affect critical systems.
Key Products and Capabilities
EveGuard
The company’s core platform provides visibility and security controls for AI agents interacting with enterprise systems and data.
Agent Activity Observability
Provides insight into agent interactions, requests and behavior across connected tools and applications so security teams can understand how agents operate.
Agent-in-the-Loop
Eve’s Agent-in-the-Loop approach helps investigate suspicious activity, assess potential risks and coordinate the analysis of agent behavior.
Intent-Based Policy Controls
Uses the intent and context of an action to support decisions about whether an AI agent should be allowed to proceed.
Data-Aware Security
Helps organizations assess requests in the context of the information involved, supporting safeguards around sensitive business data.
Runtime Risk Prevention
Enforces controls while agents are operating, with the aim of identifying and stopping unsafe actions before they affect critical systems.
AI Agent Security Risks Eve Addresses
Unauthorized Actions
Helps identify actions that fall outside an agent’s permitted responsibilities or violate an organization’s security policies.
Sensitive Data Exposure
Supports controls around agent access to confidential information and helps identify requests that could create data security risks.
Prompt Injection
Helps security teams investigate suspicious behavior that could arise when agents encounter malicious instructions or manipulated inputs.
Excessive Agent Permissions
Helps organizations monitor how agents use their access to tools, APIs and enterprise applications.
Unintended Tool Usage
Provides visibility into agent interactions with connected tools and supports controls over potentially risky operations.
Limited Security Visibility
Helps close monitoring gaps that arise when autonomous agents execute actions across multiple systems faster than teams can manually review them.
Eve Security at a Glance
Target Market
Enterprises deploying AI agents across business applications, sensitive data and operational systems.
Security Approach
Monitors agent behavior and applies controls while agents interact with connected systems.
Business Focus
Helps security teams maintain visibility, accountability and policy controls as enterprise AI adoption grows.
Who Can Use Eve Security?
Security Teams
Security operations and engineering teams can use runtime visibility and policy controls to investigate suspicious agent activity and reduce exposure to unsafe actions.
Enterprise AI Teams
Teams deploying AI agents can use monitoring and governance capabilities to understand agent behavior and manage risks as they connect agents to business systems.
IT and Compliance Leaders
IT, risk and compliance teams can use agent activity records and policy enforcement to support internal governance requirements and responsible AI deployment.
Funding Journey
September 2025
Initial Seed Round
$3M
Raised a seed round led by LiveOak Ventures, with participation from Tau Ventures, to develop EveGuard and its AI agent security approach.
September 2026
Seed Extension
$4.5M
Announced additional funding led by Run Ventures, with participation from Dreamit Ventures and Blu Ventures and continued investment from LiveOak Ventures.
Current Funding Status
Total Reported Funding
$7.5M
The two announced seed financings bring Eve Security’s reported total to $7.5 million. A current company-confirmed valuation has not been disclosed.