

The most common place users encounter ZK today is in ZK-rollups such as Starknet and zkSync Era. These Layer 2 networks process transactions away from Ethereum mainnet, generate a cryptographic proof that the transactions were valid, and submit that proof back to Ethereum.
For users, the benefit is practical: lower transaction costs, higher throughput, and faster confirmation without relying entirely on a separate blockchain.
ZK means zero-knowledge, a type of cryptography that proves a statement is valid without revealing all of the underlying data.
In crypto, ZK technology is commonly used in Layer 2 rollups, privacy tools, identity systems, and proof-of-reserves or compliance applications.
ZK-rollups process transactions away from Ethereum and submit validity proofs back to Layer 1, reducing the amount of work Ethereum needs to perform directly.
ZK-rollups differ from optimistic rollups because they prove transactions are valid rather than assuming validity and waiting for a challenge period.
zk-SNARKs and zk-STARKs are two different proof systems, but most ordinary users do not need to understand their mathematics to use ZK-based networks.
ZK does not automatically mean private. A ZK-rollup can use zero-knowledge proofs for scaling while still keeping transaction information publicly visible.
Zero-knowledge cryptography allows you to prove that something is true without revealing the information used to prove it.
A simple example is age verification.
Imagine a service needs to know whether you are over 18.
With a traditional identity check, you might upload an ID showing:
your full name;
date of birth;
address;
identification number; and
photograph.
A zero-knowledge system could theoretically allow you to prove:
“I am over 18” without revealing your exact birth date or the rest of the information on your ID.
The verifier learns only what it needs to know.
In blockchain systems, the same concept can be applied to transactions and computations.
Instead of asking Ethereum to independently repeat thousands of calculations, another system can perform those calculations and submit a proof saying:
“These transactions were processed correctly.”
Ethereum checks the proof rather than repeating all of the work.
That is the foundation of ZK-rollups.
A zero-knowledge proof, or ZKP, is a cryptographic proof that allows a verifier to check whether a claim is valid without seeing all the information behind it.
For ordinary crypto users, the mathematical details are less important than the applications.
Zero-knowledge proofs can be used to prove things such as:
a transaction follows protocol rules;
a user owns enough funds without revealing the exact balance;
a person meets an identity requirement without exposing their full identity;
thousands of Layer 2 transactions were executed correctly; or
a computation produced the correct result without repeating it on-chain.
This makes ZK technology useful wherever blockchains need verification without processing or revealing everything directly.
A ZK-rollup is a Layer 2 network that processes many transactions outside Ethereum’s main execution layer and periodically submits a cryptographic validity proof to Ethereum.
Think of 1,000 users making transactions.
Without a Layer 2, each transaction may need to be executed individually on Ethereum.
With a ZK-rollup:
Users send transactions to the Layer 2.
The rollup groups those transactions into transaction batches processed off-chain.
The system generates a cryptographic proof showing that the new state is correct.
The batch’s compressed data and validity proof are submitted to Ethereum.
Ethereum verifies the proof to confirm the batch is valid on chain before accepting the updated rollup state.
This is how zk rollups work.
Many user actions can be represented as a single transaction on chain, which helps reduce transaction costs.
Instead of Ethereum repeating all 1,000 transactions, it verifies the much smaller proof.
That is why ZK-rollups can reduce costs and increase transaction capacity, and they generally compress transaction data more efficiently than optimistic rollups.
Suppose 5,000 users are making swaps on a ZK-based Layer 2.
Each user might be trading, sending tokens, or interacting with a smart contract.
Rather than posting every calculation directly to Ethereum, the Layer 2 handles transaction execution itself, with state changes computed off chain.
It then must generate proofs showing, in simplified terms, that only valid transactions changed balances from the previous state to the new one:
“The balances before these 5,000 transactions were X. The balances after them are Y. Every transaction followed the rules.”
Ethereum focuses on verifying proofs before accepting the update.
If it is valid, Ethereum accepts the new state.
From the user’s perspective, the result is straightforward:
the transaction can cost much less than performing the same activity directly on Ethereum mainnet.
Not necessarily.
This is one of the most common misunderstandings around ZK technology.
Zero-knowledge proofs can support user privacy, but whether they actually do depends on how the network is designed, and ZK-rollups often use the technology primarily to prove computational correctness.
A transaction on a ZK-rollup may still expose:
wallet addresses;
token amounts;
contract interactions; and
other transaction data.
So:
ZK technology can enable privacy.
But:
a network using ZK proofs is not automatically a privacy network.
Privacy requires additional design choices aimed at enhancing user privacy, not just scaling or proving correctness.
Ethereum’s major Layer 2 networks mainly use either validity proofs or optimistic proofs.
The difference is how they establish that transactions are correct.
Zero knowledge rollups use zero knowledge technology to generate cryptographic proofs showing that each submitted state update is valid.
Ethereum verifies the proof before accepting the update. This proof verification happens on the Ethereum blockchain through the Layer 1 zk rollup contract. The rollup's state is maintained off-chain, and only the validated update is committed on-chain.
Examples include:
Starknet;
zkSync Era; and
Linea.
Optimistic rollups take a different approach.
They assume transactions are valid unless someone challenges them.
A challenge period gives network participants time to submit evidence if a batch contains an invalid state transition.
Major optimistic rollups include:
Arbitrum;
Base; and
OP Mainnet.
For most users, both approaches are a scaling solution for Ethereum transactions that make them cheaper.
The main difference is the verification model. ZK-rollups typically offer faster finality times because users do not wait through the same fraud-proof window as optimistic systems.
| ZK Rollup | Optimistic Rollup | |
|---|---|---|
| Validation | Cryptographic validity proof | Assumed valid unless challenged |
| Challenge period | No equivalent fraud-proof wait | Usually required for canonical exits |
| Proof generation | More computationally intensive | Generally simpler |
| EVM maturity | Improving rapidly | Historically easier to support |
| Examples | Starknet, zkSync, Linea | Arbitrum, Base, Optimism |
Neither architecture is automatically “better.”
Network activity, liquidity, security assumptions, fees, and application availability often matter more to users than the underlying proof system alone.
You will frequently see these terms when researching zero-knowledge projects.
They are two families of cryptographic proof systems.
ZK-SNARK stands for Succinct Non-Interactive Argument of Knowledge.
Their main advantage is compact proofs that can be relatively efficient to verify.
Different SNARK systems use different cryptographic designs, and some require a trusted setup while others do not. They are also a form of non interactive zero knowledge proof.
A zk snark circuit must be designed carefully, and one study found that 96% of SNARK circuit bugs are due to under-constrained logic.
STARK stands for Scalable Transparent Argument of Knowledge.
STARK-based systems avoid the traditional trusted setup used by some SNARK systems, rely heavily on hash-based cryptography, and use publicly verifiable randomness as part of their transparent setup model.
Starknet is the most obvious crypto example of a network built around STARK technology.
For an ordinary user deciding which L2 to use, however, the practical questions are usually more important:
Does the network support the application I need?
How much does the transaction cost?
How deep is its liquidity?
How mature are its bridges?
What are its security assumptions?
You do not need to choose a network based solely on whether it uses a SNARK or STARK.
A zkEVM is a ZK-based execution environment designed to handle complex computations for Ethereum-compatible smart contracts while proving them efficiently.
The goal is to combine:
Ethereum compatibility + ZK validity proofs + lower-cost Layer 2 execution.
This matters because Ethereum developers have already built thousands of applications using Solidity and EVM-compatible tools.
If a ZK network supports those tools closely, developers can move or adapt applications without rebuilding everything from scratch, and verify information about execution without revealing every intermediate step.
Linea and zkSync Era are examples of projects pursuing Ethereum-compatible ZK execution, although their technical implementations differ.
Starknet takes a more distinct approach and uses the Cairo programming language rather than trying to replicate the EVM exactly.
For most traders, ZK matters for four practical reasons.
Ethereum Layer 2s can spread fixed cost settlement and data expenses across many transactions. That is why lower gas fees often come from batching many operations instead of paying for every action as a separate mainnet transaction.
If you are making a swap, lending USDC, or moving tokens, using an L2 can often be substantially cheaper than doing the same transaction directly on Ethereum.
Processing activity away from Layer 1 allows ZK-rollups to increase transaction throughput without requiring every Ethereum validator to execute each one individually, which improves blockchain scalability on the Ethereum network.
Validity proofs can provide strong assurances that an L2 state transition is correct once the proof has been verified, with the new state off chain computed first and then finalized after the proof is accepted.
Instead of settling every action individually, zk-rollups periodically post valid batches to Layer 1.
Beyond scaling, ZK systems can support applications where users prove identity or compliance attributes without revealing transaction details or personal data.
Examples could include:
proving age without showing a birth date;
proving residency without exposing a full address;
proving account eligibility without publishing sensitive documents; or
proving that a transaction satisfies compliance rules while revealing less personal information.
This also matters outside crypto, including in authentication and nuclear disarmament.
Starknet is an Ethereum Layer 2 built around STARK validity proofs.
It uses Cairo as its primary programming environment and is particularly focused on ZK-native applications, account abstraction, and provable computation.
zkSync Era is a validity-based Ethereum Layer 2 designed to support familiar Ethereum development workflows while using ZK proofs for settlement.
Its current adoption is smaller than major optimistic networks such as Base and Arbitrum, but it remains an important ZK ecosystem.
Linea is a zkEVM developed by Consensys.
Its focus is making ZK execution accessible to Ethereum developers while integrating with familiar tooling in the broader Consensys ecosystem.
Polygon zkEVM was an important early zkEVM project, but its Mainnet Beta sequencer was sunset in July 2026.
This is a useful reminder that the technology may be promising while individual networks can still lose adoption, change strategy, or shut down.
Users should always check whether a network remains actively supported before moving funds onto it.
You may already use ZK technology without thinking about it, especially through zk rollup projects traders already access on exchanges.
Suppose an exchange supports withdrawing ETH to a ZK-based Layer 2.
Instead of:
Exchange → Ethereum mainnet → expensive DeFi transaction
you may be able to use:
Exchange → ZK Layer 2 → lower-cost DeFi transaction
One example is Loopring.
Once there, you might:
swap tokens;
use lending protocols;
provide liquidity;
buy NFTs; or
interact with other Layer 2 applications.
The benefit comes from the network’s lower execution cost, not from ZK magically making the trade itself better.
These networks are other scaling solutions for the Ethereum blockchain, but users should still compare liquidity and support.
Users should still consider:
bridge risk;
smart-contract risk;
network liquidity;
withdrawal support;
token compatibility; and
network status.
Not automatically.
ZK-rollups are one rollup protocol design among several Layer 2 approaches, and optimistic rollups such as Base and Arbitrum currently have much deeper activity and liquidity in many areas.
For a trader choosing an L2, a network with better liquidity and applications may be more useful than a technically sophisticated ZK network with fewer users.
Think of ZK as one approach to scaling and verification, and choosing between architectures depends on the application, not just the rollup protocol.
In crypto, ZK simply means zero-knowledge.
The technology allows blockchains to verify that something is correct without requiring every piece of information or every calculation to be processed directly on-chain.
Its most important use today is ZK-rollups, where transactions are processed in off-chain networks and only the proof and a summarized state update are committed to Ethereum.
For users, that can mean lower fees, higher transaction throughput, and more scalable applications.
For developers, it opens the door to Ethereum-compatible ZK networks and privacy-preserving applications.
And for investors, the important distinction is that ZK is a technology—not an investment thesis by itself, and many current systems still rely on a centralized entity such as a sequencer to order and submit batches. A project still needs users, liquidity, applications, sustainable economics, and a secure network to succeed.
Not necessarily. ZK proofs can support privacy, but many ZK-rollups use them primarily for scalability while keeping transaction information visible.
ZK-rollups submit proofs showing that state transitions are valid. Optimistic rollups assume transactions are valid unless they are challenged during a fraud-proof period.
A zkEVM is an Ethereum-compatible execution environment that uses zero-knowledge validity proofs to scale transactions.
Major examples include Starknet, zkSync Era, and Linea.











