Products

Fabraix

AI-native

Our agents hack your AI, before attackers do.

fabraix.com Source★ 14 DiscordSecurity & Privacy / Application & Cloud Security

AI Benchmark
Desktop
Mobile
Monthly visits
<5K
Sep 2026
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
Usage-based
No monthly subscription pricing
Creators
Ibrahim Abdu
No social account linked+1 more creators
Launched
9mo ago
2026-02-10 · Est.

Traffic

Last 12 months
Monthly visitsData through Sep 2026 · Oct 2026 pending
Events8 marketing moves

Marketing moves

Launches, search & content, referrals, promotions
  • Launched on Show HN (13 pts · 4 comments)Launch

    Open-source playground to red-team AI agents against public prompts

    Aug 9 · 3mo agoLaunch page

    At the time: 7.6K visits/moVisits: next 2 mo -65%2 concurrent moves
  • Launched on Show HN (4 pts)Launch

    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…

    Jul 13 · 4mo agoLaunch page

  • Launched on Product HuntLaunch

    Earn $100K+ in weekly rewards for hacking AI agents.

    Jul 13 · 4mo agoLaunch page

  • Launched on Product HuntLaunch

    Find gaps in your AI agents before users do

    May 8 · 6mo agoLaunch page

  • Launched on Show HN (20 pts · 8 comments)Launch

    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…

    Apr 19 · 7mo agoLaunch page

Third-party reviews & case dossiers

Acquisition breakdowns, engineer reviews & open-source metrics
Show HN
2026-02-10Source
Post excerpt:
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
2026-03-15Source
Post excerpt:
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
2026-04-05Source
Post excerpt:
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
2026-04-19Source
Post excerpt:
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
2026-07-13Source
Post excerpt:
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

Open Source & Self-Hosting

GitHub · MCP / Skill
Last commit 2026-08-09
GitHub Stars
★ 14
Forks
1
License
See repository
Primary language
—

Traffic sources

Sep 2026

Traffic breakdown

Channels

  • Direct39%
  • Organic Search32%
  • Referrals11%
  • Social6%
  • Other12%

Countries

  • United States91%
  • Canada9%

Search

Domain authority —Domain registered 2025-04-13

KeywordMonthly volume
fabraix500
fabrantic ai60
ai ferracio0

Traffic data: Vaneform

Pricing

Researchers
$0
1 target · Core interaction library · Standard findings report · Publish-friendly results · Community support
One-Off Scan
Unknown
One agent, full coverage · 10,000+ adversarial strategies · AIVSS-scored pentest report · Reproduction steps per finding · Remediation guidance
Continuous
Unknown
Enterprise
Contact sales
Dedicated infrastructure · SSO & audit logging · custom SLAs · policy-template coverage (EU AI Act, ISO 42001, MITRE ATLAS) · hands-on remediation support

Trial: None · Enterprise custom tier · Observed 2026-11-03 · Pricing page

Pages & changes

Tracked since 2026-05-08

Key pages

Weekly snapshots

Changes

No pricing, plan, or positioning changes detected since tracking started.

Questions & evidence

How much does Fabraix cost?
Researchers: $0; One-Off Scan: Unknown; Continuous: Unknown; Enterprise: Contact sales. Observed 2026-11-03. Check the source for current billing terms, usage limits and taxes.Source
How much website traffic does Fabraix get?
Vaneform estimates <5K website visits in 2026-09. Visits can include repeat visits; this estimate measures web traffic separately from paying customers or revenue.Source
What is Fabraix and what platforms does it support?
Fabraix is catalogued under Application & Cloud Security: Our agents hack your AI, before attackers do.. Supported platforms: Web.
Is Fabraix open source?
Fabraix has a public repository (https://github.com/fabraix/playground) with its source repository published, recording 14 GitHub stars.Source

Related products in this category

Security & Privacy / Application & Cloud Security

These products share a catalog category. Compare customer tasks, features and deployment requirements before treating them as alternatives.