Uniswap Labs is adding a new layer to its security stack: Zero Cool
Going forward, Uniswap Labs will run Zero Cool Continuous Coverage across all active smart contract repos.
It’s been amazing working with this forward-thinking team throughout the rigorous evaluation process.
We’ll be sharing more details in an upcoming blog post. For now, we’re excited to welcome Uniswap Labs as the newest Zero Cool enterprise customer!
Zero Cool has shipped Slot Sleuth, Vyper Vanguard, Symmetry Sniper, UniV4 Hook Harbinger, Test Terminator, and most recently, Jevscan Chain Monitor.
What do you think is up next?
I think it's too good to be left as a weekend toy project. (s/o to @devtooligan)
tldr's tldr:
> lets use jev for onchain security monitoring
> jev is good at classification, but not at extracting context from tx
> build a good parser and feed jev deep context
> super fast, cheap, low error detector
As the article mentions, Jevscan could perform better when used by a single protocol, so this could be a great solution for early phase projects to enhance their security level.
I guess teams like @monad might be interested?
There’s a lot happening in AI, and a lot happening in security.
At @yAuditDAO, we’re already bringing those two worlds together: @ZeroCool_AI is part of the stack we use in our audits, at no extra cost to clients.
This Monday, we kick off yBorg, our AI + Auditors fellowship, with a selected cohort — and we’ll be sharing part of the journey publicly.
Crazy how you can get these results in a few hours for codebases that seem nearly I accessible for the average auditor. Good seeing more of these contests come up.
The @CRX_FX team completed an AI-only Sherlock Audit Engine run on their zkVM Risk Engine + FX Clearing Core.
CRXFX is bringing FX rate locks on-chain: 30+ corridors, custom contracts, and instant USDC settlement.
3 AI auditors: @v12sec / @zerocool_ai / @savantchat
51 submissions
21 accepted findings
1 High | 8 Medium | 3 Low | 9 Info
Biggest takeaway: every AI agent in this engagement found something unique.
Running multiple AI auditors on one codebase gives protocols better coverage, since each has its own strengths.
Congrats to @CRX_FX, @v12sec, and @savantchat. Thanks to @sherlockdefi for running it 🤝
Want to learn more about Zero Cool?
If you're a security researcher or developer interested in using Zero Cool to secure your protocol, reach out now to request a demo (DM is open!) or visit us at zerocool.ai.
Biggest takeaway: every AI agent in this engagement found something unique.
Running multiple AI auditors on one codebase gives protocols better coverage, since each has its own strengths.
Congrats to @CRX_FX, @v12sec, and @savantchat. Thanks to @sherlockdefi for running it 🤝
Want to learn more about Zero Cool?
If you're a security researcher or developer interested in using Zero Cool to secure your protocol, reach out now to request a demo (DM is open!) or visit us at zerocool.ai.
After some very interesting previous engagements in the Sherlock Audit Engine, we’re super excited to put Zero Cool against Ripple’s Lending Protocol V1.1 codebase.
Let’s see what we can find. 🔍