Multi-Chain Considerations

Multi-Chain Considerations describe how ZKFund preserves privacy and correctness when operating across multiple blockchains.

ZKFund is not designed for a single execution environment. It assumes that capital, liquidity, and users will span multiple chains—and that no single chain should be able to observe the full picture.


The Risk of Multi-Chain Visibility

Operating across multiple chains usually increases, not reduces, exposure.

When execution spans chains:

  • actions can be correlated by timing

  • bridges leak intent

  • settlement patterns become observable

  • one chain can reveal context about another

If not designed carefully, multi-chain operation becomes a privacy liability.


Chain-Agnostic Privacy Model

ZKFund’s privacy model does not rely on:

  • a specific VM

  • a specific consensus model

  • synchronous execution

Each chain is treated as an isolated verification environment.

A chain only learns:

  • that a proof is valid

  • that a settlement occurred

  • that rules were followed

It never learns why, how, or in relation to other chains.


Fragmented Visibility by Design

In a multi-chain setup:

  • no single chain sees full treasury state

  • no chain sees full execution history

  • no chain sees full governance context

Each chain observes only its local proof receipts.

Even if data from multiple chains is aggregated, it cannot be stitched into a coherent global narrative.


Cross-Chain Settlement Without Correlation

When assets move across chains:

  • settlement is broken into independent steps

  • each step produces its own proof

  • proofs are not linkable across chains

There is no global transaction identifier, no shared address, and no timing guarantee that allows correlation.


Governance Remains Single-Source

While execution is multi-chain, governance is not fragmented.

ZK DAO remains:

  • the single source of authority

  • chain-agnostic

  • proof-enforced

All chains verify execution against the same governance rules, without sharing execution context.


Avoiding Bridge-Centric Leakage

Traditional bridges often become privacy choke points.

ZKFund avoids this by:

  • abstracting bridges behind ZK Pool

  • enforcing constraints locally

  • proving correctness without exposing routing

The bridge is treated as an implementation detail, not a visible actor.


Failure Isolation

Failures on one chain:

  • do not leak intent to others

  • do not expose partial state

  • do not affect governance integrity

Each chain enforces correctness independently.


Long-Term Privacy Guarantees

Multi-chain execution does not accumulate metadata over time.

There is:

  • no shared address space

  • no unified transaction graph

  • no cross-chain behavioral fingerprint

Privacy does not decay as the system scales.

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