Who This Is For
We built this for security practitioners who need actionable intel on AI vulnerabilities. If you're doing offensive security on LLMs or defending against it, you're in the right place.
Penetration Testers & Red Teamers
You already know how to break things. Now you need to learn the new attack surface. LLMs are just another component in the stack — but they got different failure modes.
What we got for you:
- • Jailbreak Leaderboard — which models are currently vulnerable and to what
- • OWASP LLM Top 10 — standardized vulnerability categories and testing methodology
- • Attack templates and PoC examples (in our GitHub repo)
- • Bug bounty programs — get paid for what you find
CISOs & Infosec Directors
Your org is probably already using ChatGPT whether you sanctioned it or not. Time to get ahead of the risk. We give you the visibility into what's actually getting exploited in the wild.
What we got for you:
- • Risk assessment data — which models are hardened, which ain't
- • Vendor comparison based on security posture and response times
- • Incident case studies when they drop (check our blog)
- • Policy templates for AI usage in enterprise environments
AI Safety Researchers
You're working on alignment, interpretability, or evals. We're the operational side — what's actually happening when models get deployed. Different angle, same goal.
What we got for you:
- • Real-world jailbreak data to inform safety training
- • Failure mode documentation beyond academic benchmarks
- • Coordination on responsible disclosure for major findings
- • Open datasets for adversarial robustness research
CTF Teams & Security Enthusiasts
You come from the hacking scene. You compete at DEF CON and do challenge writeups. AI challenges are popping up everywhere now and the skills transfer, but the techniques are different.
What we got for you:
- • Archive of past AI/LLM CTF challenges with solutions
- • Prompt injection playbook — the techniques that actually work
- • Community Discord where folks share findings (link in footer)
- • Leaderboard cred if you submit verified vulns through us
AISIs & Government Bodies
AI Safety Institutes, NIST, CISA, and the regulatory side. You're trying to figure out how to evaluate these systems at scale. We got empirical data on what's breaking.
What we got for you:
- • Standardized vulnerability taxonomy (OWASP-aligned)
- • Aggregate statistics on exploit prevalence and patch rates
- • Coordination channels for major disclosures
- • Input for AI security frameworks and standards
AppSec Engineers & Developers
You're shipping LLM features into production and need to not get owned. Security's your side quest but you gotta do it right. We give you the practical guidance.
What we got for you:
- • Secure coding patterns for LLM integration
- • Input validation and output sanitization guidance
- • Threat modeling templates for AI features
- • Review checklists before you ship to prod
Who This Ain't For
Look, we keep it real. This site assumes you already know what you're doing in security. If you're looking for beginner tutorials on "what is hacking," this probably ain't the spot.
- • Script kiddies — we don't provide copy-paste exploits without context
- • Black hats — everything here is for defensive purposes and authorized testing
- • Marketing folks — no fluff, no buzzwords, just technical content
Ready to Contribute?
We're always looking for researchers to submit findings, maintain datasets, or help with documentation. Everything goes through peer review.