Products/Security software/Cerberus

Cerberus

Cursor for AI hacking that can't go out of scope

Security softwareFounded 2026Mathematical proof-based authorization for every hacking actionPlain English prompts to control the AI hackerPrevents unauthorized actions at compile-time via formal methodsFirst AI hacker mathematically safe for production systemsFull security reports in 3-4 hours

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Our Take

The formal methods angle here is actually clever — requiring mathematical proofs of authorization before any hacking action executes means the AI physically can't be prompt-injected into attacking the wrong target, which solves a real and growing problem as AI agents proliferate. The three-hour security report claim is the hook, but I'm low-key skeptical a tool with 51 followers on Product Hunt is ready for production pentesting at $999/year. That said, the core insight — that AI hackers need compile-time safety guardrails, not runtime warnings — is the right one, and if they actually nailed the proof system, this could be a sleeper hit for security teams who need automated auditing without legal liability.

The world's first safe AI hacker. You can hack your entire app in plain English with prompts like 'find vulnerabilities and exploit them in example.com'. It uses a new programming language where every hacking action must carry a mathematical proof of authorization before executing.

Problem It Solves

Solves the critical安全问题 thatAI hackers can be hacked via prompt injection to attack unauthorized targets, and existing AI pentest tools can perform destructive actions on discovered vulnerabilities with no safety guardrails.

Target Customer

Security professionals, penetration testing firms, banks, and enterprises needing safe automated pentesting on production systems

Use Cases

Automated penetration testing, Vulnerability discovery and reporting, Production security auditing

Pricing Details

Full platform for security professionals. Enterprise tier from $60,000 for on-premise deployment with custom AI models.

Differentiator

First AI hacker with mathematical safety guarantees using formal methods from programming language theory - actions require mathematical proofs of authorization before execution, preventing unauthorized attacks at compile-time rather than runtime.

Why Now

AI agents became viable and the security industry encountered the problem that AI hackers can be prompt-injected to attack unintended targets, making automated pentesting unsafe and legally risky.

Traction

User Count: 51 followers · Notable Metrics: 70 points, Day Rank #33 on Product Hunt launch