To quote @JeremyClarkson, we did a thing.
🚀 We’re looking for developers to test for the new FYEO Scanner.
If you’re building in Web3, we’d love your feedback. https://t.co/UcK3z8KVxq
The FYEO Security Scanner continuously analyzes your codebase, including pull requests, full repository scans, diff scans, and third-party dependencies, helping you catch potential security issues before they make it into production. It’s built on insights from 300+ real-world security audits and is designed specifically for Web3—not as a generic AI wrapper.
A few things we’re especially proud of:
✅ Continuous PR, full, diff, and dependency scanning
✅ AI trained on real audit experience
✅ Your source code is never stored and is never used to train our models
✅ Runs entirely on FYEO infrastructure—your code isn’t sent to third-party AI providers (FYEO
It’s free to try with a 7-day trial and no credit card required.
We’re actively looking for developers and teams willing to kick the tires, break things, and tell us what you'd like to see. Your feedback will directly shape the product. Full product page here: https://t.co/ubvo9TG1Sn
The Aave x KelpDAO rsETH incident is a reminder: exploits aren’t just bugs — they’re failures in threat modeling.
When bridges break, collateral assumptions fail, and liquidity dries up, risk doesn’t stay isolated — it cascades.
Most protocols secure components.
Few model the system.
Threat modeling asks:
→ What if this dependency fails?
→ Where does bad debt flow?
→ How does risk propagate across protocols?
If you’re not modeling:
• Cross-protocol contagion
• Bridge failure modes
• Liquidity shocks
…you’re leaving gaps.
DeFi doesn’t break at the edges.
It breaks at the interfaces.
Breakdown 👇
https://t.co/oSEBeX2siO
Claude Code Security: What It Actually Is (And the Verification Problem Nobody's Talking About) New post by @skjortan https://t.co/QLbdrvGzg4 #AISecurity
🧵 5/5: Research Program 🧪🧠
Explored AI in Web3 security and cutting-edge @solana consensus research.
Highlights:
👉Talk from Thomas - @skjortan from @goFYEO on using AI for code review & threat modeling.
👉 Discussed critical thinking via SPA (Statement, Proof, Analysis)
👉 Umberto (@un_data_wiz ) from @ChorusOne unpacked Alpenglow’s Rotor & Voter design – moving from BFT to a new consensus model.
👉Discussed staking reward changes, fault tolerance, and the shift away from Proof of History.
🧠 Research = power.
Critical thinking is your Web3 superpower.
This is why FYEO has started an AI audit practice. Building an agent? Chat bot? Using AI to code? Don’t forget the security, folks. 🔓AI can be just as vulnerable as any other system. Lock it down, get audited. 🔐🔐🔐https://t.co/AOPgcd2mya
Interesting security audit utility for Github PRs with locally hosted model presented by Thomas from @goFYEO at AI Engineering Stockholm. Code at:
https://t.co/RNJTdsqKaS