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Firepan
1,723 posts
Firepan
@FirepanHQ
Transforming security from one-off audits to continuous ai-powered risk monitoring.
Joined April 2024
Code is the easy part of smart contract security. AI auditing for 2026 must reason about token flows, MEV exposure, incentive distortions - not just syntax. Hound is built for this economic layer. This is where audits actually fail. Which is harder to audit - your contract
- Record signups yesterday at Firepan.com! Thank you for the interest and incredible support. If you hit any snags during signup, please let us know - we’ve heard reports of intermittent issues and are on it. We’re here 24/7 to keep DeFi safe with continuous
- When a new attack pattern hits mainnet, you have hours (not weeks) to update your defenses. We extract the signature, ship the detection rule, and push it to every customer. Automatic. No version bump. No manual update. Your threat intel compounds with the ecosystem's. The
- Thanks to @newmichwill for collaborating on this latest report! @CurveFinance is one of the most heavily audited protocols in crypto history. Firepan’s AI still found a critical vulnerability in their newest AMM before mainnet. ✅ No funds lost. ✅ Patched before deployment.
- Some scans don't need to be deep. Some do. Deep Audit is reserved for mainnet pre-flight, major upgrades, and high-value deployments. Multi-hour autonomous analysis. Senior-auditor-level reasoning. AI-scale throughput. → Symbolic exploration of all reachable states →
- Surface Scan runs on every push. Not every release. Not every sprint. Every push. Under three minutes. Catches 80% of known vulnerability patterns at near-zero marginal cost. Continuous coverage without continuous friction. The base layer of every modern security stack.
- One YAML file. One status check. Block merges with critical findings. firepan/scan-action@v2 fail-on: critical No new dashboards to learn. No new triage workflow. Just: → Scan runs on every PR → Inline comments on flagged lines → Merge blocked until resolved or waived
- Continuous AI scanning costs ~$0.04 per line of code. Traditional audits run $4-12 per line. For a 50,000-line protocol that's: → Firepan continuous: ~$2,000/year → Open-source tools + eng time: ~$6,000/year → AI-only competitors: ~$22,500/year → Senior-led traditional
- This is why you run Firepan.com scans. If you're not scanning your code, someone else is. Protect it before the next hack!$ZEC down over 40% overnight after Claude AI found a bug that allowed unlimited minting of the token. one prompt destroyed billions of value in just hours. AI is going to wreck havoc for coins that aren't secured for a post-quantum world.
- Most AI auditing tools treat smart contracts as text. Hound builds a control-flow graph first, then reasons about state transitions. It doesn't just read your code. It models its behavior. The pipeline: → Parse control + data flow into a queryable graph → Explore reachable
- Formal verification is back from the dead. The gold standard from the 1970s required a PhD and six months. AI changed that in 2026. LLMs can now translate Solidity to formal specifications automatically. What once required Coq or Isabelle now requires a prompt. If you've
- OWASP's 2026 framework is clear: security checks belong inside the dev cycle. Not after. The SDLC-integrated stack looks like this: → Pre-commit: local linters → Pre-merge: AI scanning blocks the PR → Pre-deploy: formal verification on critical paths → Post-deploy:
