# Fabraix 根据 OpenAITools.app 于 2026-11-11 核对的流量数据，Fabraix（fabraix.com）是一个收录在 AI Agent 下的 AI 平台，月访问量为 3051，月度环比流量变化为 +407（+15.4%）。其主要地理市场为加拿大（100% 流量份额），采用免费增值，定价请咨询定价模式。按月流量计算的主要竞争替代方案包括 Mindgard（15.35万次访问/月），Equixly（1.32万次访问/月），ProjectDiscovery Neo（15.85万次访问/月）。 Fabraix is an adversarial-verification platform built around Nyx, an autonomous red-teaming harness that probes your AI agents across security, logic and alignment. It is pure blackbox — no integration or internal access required — and runs 10,000+ adaptive, multi-turn attack strategies in massively parallel simulations to surface the failure modes static benchmarks miss. ## 关键遥测与规格 | 指标 | 数值 | | :--- | :--- | | 工具名称 | Fabraix | | 标识 | fabraix | | Status | active | | Origin | independent | | Maintenance | active | | 官方域名 | fabraix.com | | 官网地址 | https://fabraix.com | | 分类 | AI Agent, AI Developer Tools, AI 测试, AI 检测工具, Large Language Models (LLMs), AI 聊天机器人 | | 定价模式 | 免费增值，定价请咨询 | | 月访问量 | 3,051 | | 月度环比流量变化 | 407 | | 月度环比增长率 | +15.4% | | 主要市场 | 加拿大 | | 市场份额 | 100% | | 直接访问量 | 1,208 | | 自然搜索访问 | — | | 社交访问 | — | | 推荐访问 | 331 | | 邮件访问 | 97 | | 评价得分 | 4.4 | | 收藏数 | 0 | | 支持平台 | 网站 | | 计费平台 | | | 属性 | 定价: 免费增值; 定价: 定价请咨询; 功能: 网站 | | 标签 | AI 安全防护, 对抗性测试, LLM 验证, 提示注入防护, AI 安全, 红队测试, 自主智能体测试, 越狱防护, 强化学习验证, 网络安全 | ## 概览 Fabraix is an adversarial-verification platform built around Nyx, an autonomous red-teaming harness that probes your AI agents across security, logic and alignment. It is pure blackbox — no integration or internal access required — and runs 10,000+ adaptive, multi-turn attack strategies in massively parallel simulations to surface the failure modes static benchmarks miss. ## 定价与套餐 Fabraix is free for academic and independent AI researchers by application. Beyond that it offers a one-off scan tier priced per agent, continuous CI/CD coverage billed monthly by usage, and an enterprise tier with dedicated infrastructure, SSO, audit logging and custom SLAs. ## 关键功能与能力 - **Pure blackbox testing:** Point Nyx at any AI system with no integration or internal access — test agents exactly how real users interact with them. - **Multi-turn adaptive attacks:** Nyx reasons across turns and adapts to your agent's logic, drawing on 10,000+ offensive strategies in long-context campaigns instead of canned prompts. - **Multi-modal interaction surfaces:** Test across voice, text and images, with websites deployed on the fly for browser agents and custom files for document-processing agents. - **Massively parallel coverage:** Run thousands of concurrent simulations; coverage scales with compute rather than headcount, with first exploits often found in under an hour. - **Continuous CI/CD red-teaming:** Plug into CI/CD so every prompt, tool and model change is re-tested before it ships, with an AIVSS-scored report and reproduction steps per finding. ## 主要用例 - **Harden customer support bots (AI product team):** Continuously stress-test a customer-facing chatbot for hallucinated answers, policy drift and multi-turn prompt injection. - **Secure coding and browser agents (Platform engineering team):** Catch broken refactors, runaway tool loops and unsafe shell or git execution in agents with code access. - **Catch reward hacking early (ML researcher):** Detect reward hacking, sandbagging and other specification failures in reinforcement-learning training before a run finishes. - **Validate high-stakes copilots (Healthcare AI team):** Probe clinical copilots for unsafe triage, missed contraindications and PHI leakage before deployment. ## 优势 - Pure blackbox — no code, weights or integration required - 10,000+ adaptive multi-turn attack strategies - Massively parallel simulations find exploits fast - Explicit security posture: isolated runs, no training on your data, encryption ## 局限 - Pricing for scans and continuous coverage is custom-quoted rather than published - Value depends on pointing it at a real, reachable agent implementation - Commercial use of Nyx is gated behind a demo and application flow - Advanced enterprise features like SSO and audit logging are reserved for the top tier ## 常见问题 ### What does Fabraix actually do? Fabraix provides the Nyx red-team. Its autonomous agents continuously probe customer-facing AI for security vulnerabilities, logic gaps and alignment failures, the way an attacker would. ### Do I need to give it access to my code? Nyx is pure blackbox — no integration, source code, model weights or network access needed. You point it at any AI system and test it the way users interact with it. ### Is there a free option? Yes. Free access is offered to academic and independent AI researchers by application, and the site also lists a one-off scan tier and continuous CI/CD coverage. Commercial pricing is custom, per agent or usage. ### Is my data safe? No. It never trains on your data, every run is isolated and ephemeral, and traffic is encrypted in transit with TLS 1.2+ and at rest with AES-256. Soc 2 Type II is in progress and a GDPR DPA is available. ### Fabraix 的月流量和增长趋势如何？ Fabraix 目前每月获得 3051 访问量，月度环比流量变化为 +407（增长率 +15.4%）。其主要来源市场是加拿大（100% 份额），包括每月 1208 次直接访问和每月 — 次自然搜索访问。 ### Fabraix 免费吗？它的定价模式是什么？ Fabraix 采用免费增值，定价请咨询定价模式。Fabraix is free for academic and independent AI researchers by application. Beyond that it offers a one-off scan tier priced per agent, continuous CI/CD coverage billed monthly by usage, and an enterprise tier with dedicated infrastructure, SSO, audit logging and custom SLAs. 支持的计费和结账平台包括：未列出。 ### 2026 年 Fabraix 的最佳替代方案有哪些？ 基于 OpenAITools.app 的分类流量和功能契合度，Fabraix 的前五个替代方案是：1. Mindgard（15.35万次访问/月）; 2. Equixly（1.32万次访问/月）; 3. ProjectDiscovery Neo（15.85万次访问/月）; 4. Future AGI（12.17万次访问/月）; 5. Cekura（7.32万次访问/月）。 ### Fabraix 支持哪些平台和核心 AI 能力？ Fabraix 被归类在 AI Agent, AI Developer Tools, AI 测试, AI 检测工具下，支持以下平台：网站，其核心能力标签包括：AI 安全防护, 对抗性测试, LLM 验证, 提示注入防护, AI 安全, 红队测试。 ## 替代工具 | 工具名称 | 月访问量 | 定价模式 | 对比 | | :--- | :--- | :--- | :--- | | [Mindgard](https://openaitools.app/zh/tool/mindgard) | 153,455 | 定价请咨询 | [对比](https://openaitools.app/zh/compare/fabraix-vs-mindgard) | | [Equixly](https://openaitools.app/zh/tool/equixly) | 13,245 | 定价请咨询 | [对比](https://openaitools.app/zh/compare/equixly-vs-fabraix) | | [ProjectDiscovery Neo](https://openaitools.app/zh/tool/projectdiscovery-neo) | 158,530 | 付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/fabraix-vs-projectdiscovery-neo) | | [Future AGI](https://openaitools.app/zh/tool/future-agi) | 121,741 | Freemium, Usage-based | [对比](https://openaitools.app/zh/compare/fabraix-vs-future-agi) | | [Cekura](https://openaitools.app/zh/tool/cekura) | 73,228 | 定价请咨询 | [对比](https://openaitools.app/zh/compare/cekura-vs-fabraix) | | [Hamming AI](https://openaitools.app/zh/tool/hamming-ai-yc-s24) | 17,813 | 定价请咨询 | [对比](https://openaitools.app/zh/compare/fabraix-vs-hamming-ai-yc-s24) | | [Confident AI](https://openaitools.app/zh/tool/confident-ai) | 83,400 | 免费增值，付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/confident-ai-vs-fabraix) | | [Beagle Security](https://openaitools.app/zh/tool/beagle-security) | 38,309 | 免费增值，免费试用，付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/beagle-security-vs-fabraix) | | [Maxim AI](https://openaitools.app/zh/tool/maxim-ai) | 121,351 | Contact for Pricing, Free Open Source | [对比](https://openaitools.app/zh/compare/fabraix-vs-maxim-ai) | | [BotGauge](https://openaitools.app/zh/tool/botgauge) | 7,605 | 免费试用，定价请咨询 | [对比](https://openaitools.app/zh/compare/botgauge-vs-fabraix) | | [QA.tech](https://openaitools.app/zh/tool/qa-tech) | 30,550 | 付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/fabraix-vs-qa-tech) | | [Hacktron](https://openaitools.app/zh/tool/hacktron) | 125,526 | 免费增值，付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/fabraix-vs-hacktron) | --- 来源：https://openaitools.app/zh/tool/fabraix