The AI system we’ve been building for the past two years just prevented a $27.7 million exploit. The project awarded us a $250,000 bounty, making it the largest ever paid for a vulnerability found entirely by AI.
No human guided the search. The system found it on its own. We validated it with our team of world-class security researchers, and reported it.
AI has been solving olympiad math, discovering new proteins, and beating doctors at diagnosing diseases. It just added one more to the list.
The thesis that started everything
We started building this on a specific thesis. There's a cognitive limit to how deep any human auditor can trace through interacting systems. The best researchers in the world hit a ceiling at about 4 to 5 levels of system interactions. And most of the critical bugs that survive audits live below that ceiling.
So we wanted to find out if AI could get past it.
What we built was not another scanner. Not another ChatGPT wrapper that floods you with false positives. We built a reasoning architecture on top of existing AI models that pushes them far beyond what they were designed to do. A system that traces logic across 7+ layers of interacting systems simultaneously, finding vulnerabilities that no human even knows to look for.
The frontier models from the leading AI labs all have a fundamental reasoning limitation. They can't hold and trace complex logic across many layers of interacting systems. No lab solved this. We did. For the same models, our system gets a completely different level of output. It's like the model was running at 30% and nobody noticed.
How I got involved
I've been hunting bugs for years. I've seen every generation of "AI security tool" come through. High-level scanners flagging obvious issues, ChatGPT wrappers giving you hundreds of false positives. All a waste of time.
When @0xitsgreg showed me what he'd built, I expected the usual demo. What I saw instead was a system that performed extreme deep dives on each codebase to dig up the most obscure and unfindable bugs.
I joined as co-founder and CEO.
The hardest proving ground we could find
We chose crypto because when a vulnerability gets exploited on a live protocol, real money gets drained in minutes. There's no "we'll patch it next quarter." And the biggest protocols have already been audited 3, 4, 5 times by the best firms in the world.
If our system could find what they all missed, that's the strongest proof imaginable.
Over the past months, it has found confirmed live vulnerabilities in Ethereum, Lido, Chainlink, Aave, Uniswap, Polygon, and others. All of these protocols are securing billions of dollars. All previously audited multiple times by top firms. Every finding was missed by every human reviewer.
The $250,000 finding
The system analyzed a major, heavily audited protocol using what we call Deep Invariant Analysis. It ingested the codebase, mapped every module, every dependency, every interaction between systems. It traced execution paths looking for invariants, things that should never break but might under specific conditions.
When it found a promising thread, it spun up connected sub-agents to explore different angles in parallel, launched a sandbox, wrote proof-of-concept exploits, iterated, and refined the attack path until it had something fully reproducible.
Then it pinged us.
We opened the finding expecting another medium-severity edge case. What we were looking at was a critical logic flaw in the interaction of multiple systems. $27.7M of user funds at direct risk of being drained in a single attack.
We validated it and reported it through @HackenProof. The protocol confirmed, patched immediately, and awarded us a $250,000 max-severity bounty.
What this means
Crypto has witnessed a lot of exploits recently, and for the most part protocols deflect the blame. Meanwhile attackers are getting more sophisticated, increasingly AI-assisted, and the depth of security review hasn't kept up.
The ceiling on what human-only security can reach has held for years. This bounty is evidence that AI can now break through it. And we've already been approached by one of the major AI labs to explore what we've built.
Today we're coming out of stealth. We call ourselves @therealgregoai. We're just getting started.
If you want to discover what vulnerabilities your protocol might have missed, DM me.
