🔊 Introducing Safenet Aegis: the first production-ready and fee-generating release of Safenet, secured by $SAFE.
Safenet is a decentralized security protocol for self-custody.
💲 A user submits a transaction to Safenet for a small fee.
👓 Sentinels @OpenCover, @BlockSecTeam,
Safenet is building the future of onchain security through a decentralized network of Sentinels!
We’re excited to be part of the Safenet Aegis proposal as one of the proposed independent Sentinels helping protect the Safe ecosystem.
Decentralizing security removes the dependency on any single provider or detection system, creating a more resilient security layer as onchain threats continue to evolve.
Looking forward to continue contributing as the proposal moves through Safe{DAO}. 🛡️
🗳️ New Proposal for Safenet Aegis is now live on the Safe{DAO} forum. Here is a breakdown ↓
It asks to fund the first production-ready protocol version built to secure @safe Multisig and the wider ecosystem in Q4.
Threats to self-custody are only increasing, and most defences
Exactly. A blockchain transaction authorizes code execution, but it does not guarantee execution quality.
The missing layer is enforcement: making sure the final state change matches the user’s intended outcome and nothing else.
This is the execution control layer we are building.
the problem with bridge UX, and DeFi UX in general, is not only broken interfaces.
users are forced to set wider slippage than they actually want, because tighter constraints make the transaction more likely to revert.
so users leave room for market changes. and too often, execution lands near the lower bound.
that is bad UX.
IntentGuard is building toward a user-centric future for DeFi: users define the outcome they want, and the market works to satisfy it, not the other way around.
Is what you see really what you get in DeFi?
We analyzed large (> $ 50k) Uniswap V3 swaps to measure the gap between the price preview shown before signing and the price users actually received.
TL;DR:
- 78.3% of default-tolerance swaps settled within 1% of the signed slippage floor, and 84.1% within 5%
- Favorable outcomes were economically tiny: max +3 bps, while adverse execution reached ~50 bps in common default-tolerance cases
- Only ~4.2% crossed the slippage floor and reverted. 78.3% settled just inside it.
Read the report, link in the comment.
@ethereumfndn@Uniswap#DeFi
252 Followers 3K FollowingSecurity Engineer - Incident Response @StarknetFndn | All views here are my own. #DFIR Ex - @Mozilla, @Livenation, @Ticketmaster
1K Followers 762 FollowingBuilding @unchaindata_xyz · Fractional Data Lead · prev @Binance & @Morpho · DMs open | Ethereum & Solana Analytics Veteran, Sui Explorer
0 Followers 4 FollowingIndependent measurement of Ethereum execution neutrality. Open methodology. Published by @IntentGuard (https://t.co/dbbchgnanq).
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