- 每月造訪次數
- <5K
- 2026 年 9 月
- 公開營收
- 未公開
- 暫無公開營收證據
- 入門價
- 按量付費
- 沒有月付訂閱價
- 首次發布
- 9 個月前
- 2026-02-10 · 估算
訪問
近 12 個月
行銷動作
發布、搜尋與內容、引薦、促銷X 帳號@fabraixhq
在 Show HN 發布（13 分 · 4 評論）發布
Open-source playground to red-team AI agents against public prompts
8 月 9 日 · 3 個月前發布頁
當時 每月造訪次數 7.6K訪問：之後 2 個月 -65%同期還有 2 個動作在 Show HN 發布（4 分）發布
We are giving away $100K > over the next 12 months to hack AI agents — We build AI agents to find vulnerabilities in other AI agents. The playground started as an internal tool that we used to test our own off…
7 月 13 日 · 4 個月前發布頁
在 Show HN 發布（20 分 · 8 評論）發布
Nyx – multi-turn, adaptive, offensive testing harness for AI agents — We built Nyx to solve a problem we kept hitting while building agents: AI agents break in ways traditional software doesn't. Logic bugs, r…
4 月 19 日 · 7 個月前發布頁
第三方評測與案例拆解
客戶來源管道拆解、工程師評測與開源檔案Show HN
2026-02-10查看原文
- 創作者原帖摘錄：
- Each week we deploy a live AI agent with real tools (web search, browsing, more), a persona, and something it's been told to protect. The system prompt is fully visible. Your job is to break through the guardrails anyway. Fastest successful jailbreak wins and the winning technique gets published for everyone to learn from. First challenge is live now. Give i
Show HN
2026-03-15查看原文
- 創作者原帖摘錄：
- We build runtime security for AI agents. The playground started as an internal tool that we used to test our own guardrails. But we kept finding the same types of vulnerabilities because we think about attacks a certain way. At some point you need people who don't think like you. So we open-sourced it. Each challenge is a live agent with real tools and a pub
Show HN
2026-04-05查看原文
- 創作者原帖摘錄：
- We built Adversarial Cost to Exploit (ACE), a benchmark that measures the token expenditure an autonomous adversary must invest to breach an LLM agent. Instead of binary pass/fail, ACE quantifies adversarial effort in dollars, enabling game-theoretic analysis of when an attack is economically rational. We tested six budget-tier models (Gemini Flash-Lite, Dee
Show HN
2026-04-19查看原文
- 創作者原帖摘錄：
- We built Nyx to solve a problem we kept hitting while building agents: AI agents break in ways traditional software doesn't. Logic bugs, reasoning failures, edge cases that manual testing and static benchmarks never explore. Nyx is an autonomous testing harness that probes your AI agents to find failure modes before users do. It’s used to find logic bugs, in
Show HN
2026-07-13查看原文
- 創作者原帖摘錄：
- We build AI agents to find vulnerabilities in other AI agents. The playground started as an internal tool that we used to test our own offensive agent Nyx. But we realised that hacking an AI is about have as wide a distribution of attacks as possible, especially those which aren't in the distribution of the models. So we are launching playground as a platfor
開源倉庫與自部署
GitHub 開源與智慧體接入
流量來源
2026 年 9 月
訪問構成
管道
- 直接訪問39%
- 自然搜尋32%
- 外部引薦11%
- 社交媒體6%
- 其他12%
國家/地區
- 美國91%
- 加拿大9%
搜尋
站點權重 —網域名稱註冊 2025-04-13
| 關鍵字 | 月搜尋量 |
|---|---|
| fabraix | 500 |
| fabrantic ai | 60 |
| ai ferracio | 0 |
流量資料：Vaneform
定價
Researchers
$0
1 target · Core interaction library · Standard findings report · Publish-friendly results · Community support
One-Off Scan
未知
One agent, full coverage · 10,000+ adversarial strategies · AIVSS-scored pentest report · Reproduction steps per finding · Remediation guidance
Continuous
未知
Enterprise
聯繫銷售
Dedicated infrastructure · SSO & audit logging · custom SLAs · policy-template coverage (EU AI Act, ISO 42001, MITRE ATLAS) · hands-on remediation support
試用：未提供 · 設企業客製化檔 · 觀察於 2026-11-03 · 原定價頁
頁面與變化
開始記錄於 2026-05-08
關鍵頁面
每週快照- 首頁fabraix.com/
- 定價fabraix.com/pricing 快照 2026-11-03
- 功能fabraix.com/security 快照 2026-11-03
變化
開始記錄以來，定價、方案與定位都沒有變化。
問題與證據
- Fabraix 的價格是多少？
- Researchers: $0; One-Off Scan: 未知; Continuous: 未知; Enterprise: 聯繫銷售. 觀察於 2026-11-03。 當前計費條件、用量限制與稅費以來源頁面為准。來源
- Fabraix 的網站造訪次數是多少？
- Vaneform 估算 2026-09 網站造訪次數為 <5K。造訪次數包含重複訪問，付費客戶數與收入需分別查看對應證據。來源
- Fabraix 是什麼產品，支援哪些平台？
- Fabraix 歸屬「應用與雲安全」市場領域：Fabraix 的 Nyx 為部署 AI 的團隊提供自主紅隊測試，持續發現 AI 智慧體在安全、邏輯和對齊方面的漏洞。。 支援平台包括：僅網頁。
- Fabraix 是開源專案嗎？採用什麼協議？
- Fabraix 擁有公開程式碼倉庫（https://github.com/fabraix/playground），已公開原始碼倉庫，記錄有 14 個 GitHub Stars。來源
同分類研究對象
安全與隱私 / 應用與雲安全
這些產品屬於同一目錄分類。選型時請進一步核對客戶任務、功能與部署要求。