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Firepan
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Firepan
@FirepanHQ
Transforming security from one-off audits to continuous ai-powered risk monitoring.
参加日 Nisan 2024
69 フォロー中651 フォロワー
Firepan がリツイート

Here's where AI auditing still fails in 2026:
→ Novel attack vectors not in training data
→ Cross-contract logic spanning multiple protocols
→ Adversarial conditions no one has modeled
→ Subtle economic incentives that emerge over time
This is why hybrid (AI + human) wins.
We're going to say it even though it doesn't sell the product harder:
If you're auditing AI-only, you're auditing partially.

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Smart contract security has six layers. Most teams secure one.
→ Source code: Solidity bugs, gas issues
→ Bytecode: optimizer artifacts, edge behavior
→ Economic model: tokenomics, invariants
→ Composability: external calls, oracle deps
→ Governance: multisigs, timelocks, upgrades
→ Operational: key custody, infra, deployment
Save this. Which layer is your team weakest on?

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@thedaofund The third best time? Right now at Firepan.com
Get your first results in minutes
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AI sees your code. Not your intent.
A function called transfer() is fine.
A transfer() that skips access control on a treasury contract is catastrophic.
Context matters more than syntax.
This is why we feed Hound your spec, not just your source.
Has a tool ever flagged a 'bug' that was actually intended behavior?

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Security findings only matter if they reach the people who fix them.
Firepan routes to where your team already works:
→ GitHub: inline PR comments
→ Slack: critical alerts to your security channel
→ Linear/Jira: auto-filed tickets with severity tags
→ Webhooks: custom routing for your ops
No new dashboards. Same workflow. Higher coverage.
Where does your team triage security issues today?

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The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.
The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.
Access to all other Claude models is not affected.
We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.
Read our full statement: anthropic.com/news/fable-myt…
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The exploit doesn't start when the audit ends.
It starts six months later. After the upgrade. After the new integration. After the oracle drift no one noticed.
Firepan watches deployed contracts for behavioral anomalies in real time.
Detection before drain. Not after.
Who on your team owns post-deploy security?

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@CurveCap @gizmothegizzer They don't have to anymore @gizmothegizzer. You can get a high quality audit with Firepan.com
Our platform has already detected vulnerabilities that other human-only audits have missed!
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Pick the plan for where you are, not where you wish you were:
→ Starter ($239/mo): indie teams, 5 repos
→ Professional ($959/mo): growth-stage DeFi, 15 repos
→ Enterprise ($2,399/mo): multi-team setups, 50 repos
→ Manual audit (custom): pre-launch institutional
No per-seat fees. No usage surprises. Cancel anytime.
Which tier is your team really at?

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@xcloudllama @CurveCap @newmichwill @CurveFinance No fear mongering. All details are in the reports linked in the article.
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@FirepanHQ @CurveCap @newmichwill @CurveFinance Why are you miss quoting him? It wasn’t critical. This marketing fear mongering is very off putting.
x.com/newmichwill/st…
Michael Egorov@newmichwill
Not a critical one, but was definitely worth fixing. AI does help with smart contract security apparently
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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.
This is the future of smart contract security: continuous, AI-native verification operating faster than attackers can evolve.
Firepan@FirepanHQ
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@FirepanHQ Some of the most expensive failures in DeFi weren't caused by coding mistakes but by economic assumptions that looked safe until they met adversarial capital.
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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 logic or your tokenomics?

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@DBCrypt0 This case study with Curve is a great place to start: x.com/FirepanHQ/stat…
Alternatively, lets get your repo scanned at Firepan.com and find the vulnerabilities that matter most to you.
Firepan@FirepanHQ
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