In 2022, a cross-chain bridge was attacked, and the losses exceeded $600 million.
After a post-incident review, the problem was in the bridge’s verification mechanism—verification nodes were falsifying things. On-chain records showed “transaction valid,” but the money had already been transferred away.
Since then, every time I see descriptions like “on-chain settlement, secure and transparent,” I’ve started by asking: what exactly is being verified on-chain, and what can’t be verified.
GRVT’s settlement layer uses a ZK Validium architecture built on ZKsync. Behind this choice is specific engineering logic worth unpacking.
What ZK proofs do is compress the computation results of a batch of transactions into a cryptographic proof, then submit that proof to Ethereum L1 for verification. Ethereum doesn’t need to re-execute every transaction; it only needs to verify whether the proof is valid.
This allows GRVT to process 600,000 transactions per second, with settlement security anchored on Ethereum L1.
The difference between Validium and a standard ZK Rollup lies in data storage.
With a ZK Rollup, transaction data is also submitted on-chain—fully transparent but expensive.
GRVT chose Validium—in other words, it deliberately picked “lower cost and higher speed” over “full transparency.”
That choice introduces a concrete risk: if the off-chain data availability/storage layer has issues—such as data loss or tampering—the on-chain ZK proof can’t detect that. The proof only attests that the computation result is correct; it doesn’t care whether the original data was altered.
In the 2022 bridge attack, the verification mechanism itself wasn’t the problem—the object being verified was.
Under the Validium architecture, the ZK proof verifies the computation process, but the reliability of the off-chain data layer is another matter.
GRVT currently integrates EigenDA to provide data availability guarantees. EigenLayer’s EigenDA data-layer product uses re-staked ETH nodes to ensure that off-chain data can be verified and recovered.
In theory, it patches Validium’s biggest vulnerability.
But EigenDA is still a relatively early product. Using it as a security backbone means GRVT’s security model partly depends on EigenDA’s maturity; it’s not fully autonomous.
On-chain settlement plus ZK proofs does provide a security layer that’s higher than a typical DEX.
However, the off-chain data risk of Validium is real. Whether EigenDA can hold up under extreme conditions hasn’t been tested through true stress testing yet.
@grvt_io $GRVT #grvt
After a post-incident review, the problem was in the bridge’s verification mechanism—verification nodes were falsifying things. On-chain records showed “transaction valid,” but the money had already been transferred away.
Since then, every time I see descriptions like “on-chain settlement, secure and transparent,” I’ve started by asking: what exactly is being verified on-chain, and what can’t be verified.
GRVT’s settlement layer uses a ZK Validium architecture built on ZKsync. Behind this choice is specific engineering logic worth unpacking.
What ZK proofs do is compress the computation results of a batch of transactions into a cryptographic proof, then submit that proof to Ethereum L1 for verification. Ethereum doesn’t need to re-execute every transaction; it only needs to verify whether the proof is valid.
This allows GRVT to process 600,000 transactions per second, with settlement security anchored on Ethereum L1.
The difference between Validium and a standard ZK Rollup lies in data storage.
With a ZK Rollup, transaction data is also submitted on-chain—fully transparent but expensive.
GRVT chose Validium—in other words, it deliberately picked “lower cost and higher speed” over “full transparency.”
That choice introduces a concrete risk: if the off-chain data availability/storage layer has issues—such as data loss or tampering—the on-chain ZK proof can’t detect that. The proof only attests that the computation result is correct; it doesn’t care whether the original data was altered.
In the 2022 bridge attack, the verification mechanism itself wasn’t the problem—the object being verified was.
Under the Validium architecture, the ZK proof verifies the computation process, but the reliability of the off-chain data layer is another matter.
GRVT currently integrates EigenDA to provide data availability guarantees. EigenLayer’s EigenDA data-layer product uses re-staked ETH nodes to ensure that off-chain data can be verified and recovered.
In theory, it patches Validium’s biggest vulnerability.
But EigenDA is still a relatively early product. Using it as a security backbone means GRVT’s security model partly depends on EigenDA’s maturity; it’s not fully autonomous.
On-chain settlement plus ZK proofs does provide a security layer that’s higher than a typical DEX.
However, the off-chain data risk of Validium is real. Whether EigenDA can hold up under extreme conditions hasn’t been tested through true stress testing yet.
@grvt_io $GRVT #grvt