Rogue

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Rogue is an AI agent evaluation and red team platform that stress-tests AI agents against business policies and adversarial attacks. It helps harden AI agents before attackers can exploit vulnerabilities.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is rogue?

Rogue is an AI Agent Evaluator & Red Team Platform designed to stress-test AI agents for both compliance and security vulnerabilities. It offers automatic evaluation against business policies and expected behaviors, allowing users to define scenarios, verify compliance, and monitor live conversations. Additionally, Rogue provides robust red teaming capabilities, simulating over 75 vulnerabilities across 12 security categories and 20 attack techniques, with CVSS-based risk scoring. It supports 8 compliance frameworks, including OWASP, MITRE, and NIST. The platform operates on a client-server architecture with TUI and CLI interfaces, supporting various protocols and offering reproducible scans for regression testing and security fixes.

Best used for

Ideal for developers and product managers who need to rigorously test their AI agents for compliance, identify security vulnerabilities, and ensure robust behavior. Especially valuable for teams building AI applications that require high levels of security and adherence to business policies.

Common actions

evaluate AI agents

red team AI

test AI security

monitor AI behavior

ensure AI compliance

open-sourcecollaborationlow-code/no-codedeepfakeworkflowsautomated workflowgithub copilot"AI Agents"face swapping

Capabilities

Key features

Automatic AI agent evaluation
Red team adversarial attacks
Live conversation monitoring
Comprehensive pass/fail reports
CVSS-based risk scoring
Reproducible scans
Multiple protocol support

Target Audience

developerproduct managerdata scientiststartup founder

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is the licensing model for Rogue?

Rogue is licensed under a proprietary license, allowing free use for personal and internal projects. However, commercial hosting of the platform requires a specific licensing agreement. For commercial inquiries, users are directed to contact rogue.security directly.

What types of AI agents can Rogue evaluate?

Rogue can evaluate AI agents implemented as Python functions, as well as those using protocols like A2A (Google's Agent-to-Agent) and MCP (Model Context Protocol). It supports agents from OpenAI, Anthropic, and Google via LiteLLM, offering flexibility in agent integration.

How does Rogue ensure reproducible test results?

Rogue ensures reproducible test results by allowing users to specify a random seed for their scans. This feature is particularly useful for regression testing and validating security fixes, as it guarantees consistent test conditions across multiple runs.

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