Rutile

$350B+ is locked in smart contracts. Yet a single audit still takes 8–12 hours. 1–2h understanding contracts 4–5h verifying PoCs 2–3h writing reports Most of this work is repetitive. Rutile automates the audit workflow. Auditors complete audits 60% faster. Thread ↓

@PashovAuditGrp We've seen the same. Using our AI audit workflow at rutile.tech, we've been able to surface a lot more vulnerabilities as well.

@RealJohnnyTime Great analogy. Curious — do you think reentrancy is still one of the most common bugs in DeFi today?

Imagine a bank teller hands you cash BEFORE writing down that you withdrew it. So you ask for more. Again. And again. Infinite money glitch? No. It's a Reentrancy attack. And it's draining millions from DeFi right now. smartcontractshacking.com/attacks/reentr…

@PashovAuditGrp I've tried it as well — pretty impressive. Curious how others are using it in their workflow.

4 time security contest champion montecristo just shared he has found a Critical Severity Vulnerability on an audit with our tool. It's not just to hunt autonomously. Smart security researchers are using it to help them find vulnerabilities. Great work🫡

@0xSilvermist If AI helps auditors understand the protocol, surface vulnerabilities with evidence, generate PoCs, and draft reports — wouldn’t that massively speed up audits?

"Can AI find the same bugs as a human?" - this is all I see lately. But everyone's stuck on accuracy when the real game-changer is something else. I'll tell you what it is - but first, think about it yourself before you scroll 🤔

@heathenft @solana Interesting. Supply chain attacks are becoming a big problem in Web3. Curious — how common are compromised dependencies in Solana projects today?

npm audit doesn't know your Solana dependencies are compromised. solana-audit does. supply chain attacks, abandoned packages, deprecated SDKs. open source. npx solana-audit link below

@PeterSRWeb3 Exactly. Audits are essential now. And with AI helping speed things up, there’s really no excuse not to run one anymore.

🚨 Web3 Builder 🚨 "No audit needed—our team's GOAT! 🐐 *2 weeks later:* Protocol rekt, funds vaporized. 💥😩 Stat: 80% of hacked DeFi protocols were UNAUDITED. Lesson: Audits save asses. Get one or get gone. 👇 #DeFi #Crypto #Web3Security

@ddimitrovv22 Interesting breakdown. Curious — could knowledge-graph-based systems help with coverage and reasoning across contracts? And if agents can generate and validate PoCs themselves, would that reduce false positives?

Things AI Audit agents are good at: - finding leads - checking math and rounding errors - clearing all low-hanging bugs Things AI Audit agents are bad at: - coverage - finding complex business logic bugs - many false positives that sound convincing

@asen_sec Interesting take. If AI created the judging crisis, what kind of AI triaging do you think actually fixes it?

Been saying this. AI created the judging crisis. AI can solve it.

@piquopiquo @asen_sec Interesting point. If AI validates PoC, how can we trust it?

@asen_sec validate if PoC works, and build a rating system, gate slop.

@joranhonig Interesting point. If agentic triaging gets really good, does that solve the problem? And if agents start finding most bugs first, what happens to bug bounties?

I think bb platforms should focus on building auto triaging over audit agents. Slop submissions are overwhelming teams and worsening the bug bounty experience. Having high confidence agentic triaging would quickly change the game.

@asen_sec Interesting point. If AI is catching the easy bugs first, the advantage probably shifts to hunters who know how to use AI well. Curious — how are serious bounty hunters adapting their workflow today?

It's not too late to start in web3 security. But the game you're entering isn't the game you've been reading about. Contests take months to judge. Platforms limiting submissions. AI finds the easy bugs before you do. The people who make it now are the ones who adapt fast.

@omgcorn Agreed. AI can help, but *deep protocol reasoning* is still difficult. Maybe knowledge-graph-based systems get us closer — but *human validation* will always matter.

Just another day in crypto. AI auditors will help close the gap on smart contract risk but job’s not done yet

@WakeFramework Strong take. AI auditing really seems to work only when the system can maintain structure and context. Curious — in your pipeline, does the Data Dependency Graph act as the main reasoning layer between agents?

"AI auditors can help" is true. "AI auditors are enough" is dangerous. The gap between a generic LLM scanning Solidity and a structured multi-agent system with domain-specific reasoning is enormous. Most AI security tools run a single prompt and hope for the best. Errors compound. Context gets lost. False positives bury real findings. Wake Arena takes a different approach. 108 battle-tested detectors feed into a multi-agent AI pipeline that reasons through Data Dependency Graphs, validates findings across multiple steps, and applies contextual understanding built from years of senior auditor work on Lido, Aave, and Safe. The result: 50% of critical findings caught in benchmark tests. Not perfect. Not a replacement for human auditors. But a serious pre-audit layer that lets teams arrive at their manual review with cleaner code. AI auditing works when it's structured, validated, and honest about its limits.

@suraj_sharma14 @immunefi Great list. Curious — what AI tools do bug bounty hunters actually use today?

A developer found one bug and got paid $10M. No team. No startup. Just skill. I went through 20+ platforms so you don't have to. Here are 8 Web3 bug bounty programs where developers are actually earning $10K–$1M+: 1.) Immunefi (@immunefi) Biggest Web3 bounty platform. Period. $180M+ paid out to whitehats so far. Real payouts: - $10M for a bug in Wormhole - $6M for a bug in Aurora - $2.2M for a bug in Polygon Start here if you're serious about Web3 security. immunefi.com/bug-bounty 2.) HackenProof (@HackenProof) 200+ active Web3 programs live right now. $15.7M+ paid out. Rewards in stablecoins or fiat. Best for developers just getting into security. hackenproof.com/programs 3.) Sherlock (@sherlockdefi) Every bug submission reviewed by senior auditors before it reaches the protocol team. Paid up to $500K USDC for single vulnerabilities. sherlock.xyz/solutions/bug-… 4.) Code4rena (@code4rena) Audit competitions not just bounties. You and other researchers hunt bugs in the same codebase. Best findings get paid most. Fastest way to build a public security track record. code4rena.com 5.) Hats Finance (@HatsFinance) Fully on-chain bug bounty protocol. Find a bug → get paid directly. No middleman. No waiting. hats.finance 6.) Hashlock (@Hashlock_) Web3-focused. Covers Solidity, Rust, and Move. Faster triage and payouts than most platforms. hashlock.com/bug-bounty 7.) Bugcrowd (@Bugcrowd) Has hosted programs for Coinbase and MakerDAO. 500K+ researchers. Serious programs. Don't sleep on this one. bugcrowd.com 8.) HackerOne (@Hacker0x01) One of the most trusted platforms globally. Strong triage. Fast feedback. Real payouts. hackerone.com Honest take: The market is down right now. Tokens are bleeding. Jobs are competitive. But protocols still have millions locked in contracts. They still need people to find the bugs. This is one of the few ways in Web3 where your income doesn't depend on the market. If you can code you can learn this. The next $10M bug is sitting somewhere right now. Someone is going to find it. Might as well be you. Save this. Share it with one developer who needs it. 🔖 Which platform have you tried? Drop it below 👇

@QuillAudits_AI That's interesting. We’ve been thinking about modeling protocol interactions with knowledge graphs to make those decisions traceable. Curious how you think about that layer.

🔥 AI agents will soon manage billions in DeFi. But combine probabilistic AI with irreversible blockchain execution, and you get the most dangerous attack surface in crypto nobody is prepared for. Here's the security framework we actually need 🧵

@justbyte_ We help auditors understand protocols and explain vulnerabilities with evidence. rutile.tech

Drop your project url Let's drive some traffic

Great analysis. One thing this highlights well is that the hardest part of auditing isn't running scans — it's building a mental model of the protocol. How contracts, privileges, and state transitions interact. We're exploring a similar direction at Rutile with multi-agent analysis and a security knowledge graph. We're currently running a beta — would love to include it in the next round of scans.

Great write-up. AI auditing is no longer about running a single scan. The real challenge is understanding the protocol — state transitions, privileges, and interactions. That’s exactly what we’re exploring at Rutile: multi-agent analysis on top of a security knowledge graph.

$350B+ is locked in smart contracts. Yet a single audit still takes 8–12 hours. 1–2h understanding contracts 4–5h verifying PoCs 2–3h writing reports Most of this work is repetitive. Rutile automates the audit workflow. Auditors complete audits 60% faster. Thread ↓

We're opening early beta for auditors and security researchers. If you audit smart contracts, we'd love your feedback. Join the Beta rutile.tech

AI won't replace auditors. But audits will change. The future is AI + human auditors working together.