Zero Cool — Autonomous Security Agents
Find exploit-grade vulnerabilities in your system before attackers do. Every finding ships with a working proof of concept.
Request DemoBuilt by security researchers from Trail of Bits · Spearbit · Certora
Trusted by leading protocols
Security can't keep up.
drained from smart contract exploits in 2024
in DeFi TVL exposed today
per audit, weeks of waiting, still not enough capacity
The audit market has grown 8x since 2020 and still can't keep pace. Manual review doesn't scale to the speed of crypto — and every protocol shipping today is competing for the same backlog of overworked auditors.
Proven in the arena.
Including two 1st-place finishes in public audit contests
Confirmed contest findings across live protocols
All-time leaderboard, multiple paid bounty reports
Built by researchers who've found these bugs by hand.
Two founders, both Lead Security Researchers at Certora and Spearbit, both alumni of Trail of Bits. The patterns they spent years finding by hand are embedded into how Zero Cool's agents reason today.
Read full biosCo-founder, Research Lead
“I'm genuinely shocked by the depth of the findings from Zero Cool. We've reached a point of no return where AI audit quality is indistinguishable from a human-made one.”
It's clear you are building a very powerful tool that put in the wrong hands can be devastating for crypto.
Zero Cool helps us ship safe code faster & cheaper. Their detection is scary good.
Zero Cool strikes again...it's very, very good.
Wow all I can say is I am thoroughly impressed by what you guys have been able to accomplish. This is by far the most advanced tool for cybersecurity I have ever come across!
Configure. Run. Verify. Iterate.
Zero Cool fits into your security workflow before deployments and alongside manual audits. Run it once or run it repeatedly as your codebase evolves. Each cycle gets sharper.
Configure
Define your scope, architecture, and threat model. Agents are tailored to your protocol's specific codebase and risk profile, not running generic checks.
Run
Deploy autonomous agents across your smart contracts, infrastructure, and supporting code. They analyze component interactions, not just isolated functions.
Verify
Every finding passes through multi-stage verification. Each confirmed vulnerability ships with a proof of concept. What reaches your team is actionable.
Iterate
Rerun as your code changes. Each cycle incorporates what was learned before, making detection more relevant to your protocol's architecture over time.
What makes the difference.
Catch what manual review misses
Zero Cool's agents reason across components, trace cross-contract interactions, and surface context-dependent vulnerabilities that static tools — and often manual review — never see. The hardest bugs live in interactions; this is where Zero Cool wins.
Every finding ships with a working proof of concept
Confirmed vulnerabilities only. Every finding passes multi-stage verification and arrives with a working PoC, so your developers triage real exploits, not theoretical edge cases.
Coverage that matches your attack surface
Smart contracts, blockchain infrastructure, supporting code — language-agnostic, chain-agnostic. Security coverage that fits your real attack surface, not just the parts that are easy to scan.
Proven against the best human auditors
Zero Cool's track record comes from open audit contests and bug bounty programs, head-to-head with the top researchers in the field. Public, adversarial, verifiable — not curated demos or cherry-picked metrics.
How teams use Zero Cool.
Three modes, depending on where your protocol is. Pick one to start; most teams use Zero Cool in more than one mode over a deployment lifecycle.
Pre-deployment
Before mainnet, when you need exploit-grade coverage on a frozen codebase.
- Tailored agent configuration to your codebase and threat model
- Autonomous review across components, contracts, and supporting code
- Multi-stage verification on every finding
- Working proofs of concept and a delivered report
Continuous coverage
When your code is moving and you need security to keep up.
- Re-runs triggered on every code change
- Agents retain context across runs, so each iteration sharpens
- Continuous flow of verified findings, not one-shot reports
- Direct integration with your existing review workflow
Alongside manual audit
When senior researchers are already engaged and you want a second opinion.
- Independent verification path running in parallel
- Widens coverage across components manual review may have skipped
- Catches context-dependent bugs that pass code review
- Findings cross-referenced with the manual audit team
Find what others
miss
For protocol teams and security leaders who want exploit-grade coverage backed by proof, not promises.
Request a demo