
Cerberus
Cursor for AI hacking that can't go out of scope
Cerberus launched on April 17, 2026 with 78 votes, #604 of 21,248 launches that month and more than 95% of that year's launches.
What it does
Cerberus is the world's first safe AI hacker. You can hack your entire app in plain English with a prompt "find vulnerabilities and exploit them in example.com". We also built the world's first AI hacker that's mathematically safe to run on production. It uses a new programming language where every hacking action must come with a mathematical proof that you authorized it — no proof, no action. Point it at your app, come back in 3-4 hours with a full security report.
See Cerberus in action — the first AI hacker with mathematically proven safety. Book a live demo or start with Professional at $999/year.
You can point at production with mathematical safety guarantees. Every other AI pentester asks you to trust their prompt engineering with your production database, your secrets, and your customer data. We don't ask for trust. We ship a machine-checked proof with every action the agent takes. If it's out of scope, the code literally cannot run. Every week another company gets breached. The standard answer — a manual pentest from a consultancy — costs $80k–$200k, takes six weeks, covers 5% of your surface area, and happens twice a year. Between those two snapshots you are flying blind. An AI hacker changes the math. Continuous testing, every day, across everything you own. That's not an…from c7-security.com
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Open-source playground to red-team AI agents with exploits publishedMar 2026 · github.com · ▲30We 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 published system prompt. Whenever a challenge is over, the full winning conversation transcript and guardrail logs get documented publicly. Building the general-purpose agent itself was probably the most fun part. Getting it to reliably use…


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