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What is Eyrane?

Eyrane represents a cutting-edge AI security platform currently under development, tailored for teams engaged in security and engineering, particularly those overseeing agents and automated processes. Its core purpose is to aid organizations in pinpointing an array of elements such as agents, models, tools, MCP servers, identities, credentials, permissions, and interconnected systems, while also charting the access routes between these various components. The platform is designed to implement runtime policies that determine whether actions by agents are authorized, need further scrutiny, or are outright forbidden, based on criteria such as identity, permissions, tools, and the sensitivity of the data at play. Furthermore, Eyrane assesses the performance of agents in the context of potential threats, including prompt injection, tool misuse, privilege abuse, data exfiltration, and issues related to MCP. Its potential uses include managing agent inventories, conducting access audits, real-time monitoring, bolstering MCP security, and supporting AI red teaming efforts. Eyrane ultimately strives to empower security and engineering teams in deploying AI agents across business applications and workflows, ensuring thorough oversight and control throughout the process. With its emphasis on balancing security and operational efficiency, Eyrane emerges as an essential asset in the dynamic realm of AI governance, poised to adapt to future challenges as they arise.

What is AgentFox?

AgentFox is an open-source control plane tailored for the creation and oversight of AI agents. It methodically organizes agent repositories while establishing a connection between agents, tools, MCP servers, skills, and handoffs, all without executing code. For the frameworks it accommodates, it upholds tool-access policies, verifies tool arguments against set thresholds, and possesses the ability to suspend or reject actions until human review is conducted. Runtime assessments evaluate the interactions between models and tools to identify possible prompt injection threats and the risk of exposing confidential or personal data. Furthermore, AgentFox can function in observation mode before implementing enforcement measures, and it carefully records policy decisions in a hash-linked audit trail. Developers can choose to install AgentFox via Python or deploy it through a Docker Compose stack, making it versatile for different environments. Its target audience comprises engineering and security teams that seek thorough visibility, control mechanisms, and reliable documentation for managing AI agent activities. Released under the Apache-2.0 license, AgentFox also provides a hosted preview for potential users. This feature enhances accessibility for teams striving to improve their AI workflows with effective management solutions, ultimately supporting better collaboration and security in AI development.

Media

No images available

Media

Integrations Supported

Integrations Supported

Model Context Protocol (MCP)

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$0
Self-hosted software is free under Apache-2.0. The hosted preview is free while in preview; paid plans are not yet priced.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Eyrane

Date Founded

2026

Company Location

United States

Company Website

www.eyrane.com

Company Facts

Organization Name

Nometria Inc

Date Founded

2025

Company Location

United States

Company Website

useagentfox.com

Categories and Features

AI Agent Security

Not specified

Categories and Features

AI Agent Security

Not specified

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