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The First Feature Complete Privacy Stack is Here
Alpha is live: a fully feature-complete, privacy-first network. The infrastructure is in place, privacy is native to the protocol, and developers can now build truly private applications.
Nine years ago, we set out to redesign blockchain for privacy. The goal: create a system institutions can adopt while giving users true control of their digital lives. Privacy band-aids are coming to Ethereum (someday), but it’s clear we need privacy now, and there’s an arms race underway to build it. Privacy is complex, it’s not a feature you can bolt-on as an afterthought. It demands a ground-up approach, deep tech stack integration, and complete decentralization.
In November 2025, the Aztec Ignition Chain went live as the first decentralized L2 on Ethereum, it’s the coordination layer that the execution layer sits on top of. The network is not operated by the Aztec Labs or the Aztec Foundation, it’s run by the community, making it the true backbone of Aztec.
With the infrastructure in place and a unanimous community vote, the network enters Alpha.
Alpha is the first Layer 2 with a full execution environment for private smart contracts. All accounts, transactions, and the execution itself can be completely private. Developers can now choose what they want public and what they want to keep private while building with the three privacy pillars we have in place across data, identity, and compute.
These privacy pillars, which can be used individually or combined, break down into three core layers:
Alpha is feature complete–meaning this is the only full-stack solution for adding privacy to your business or application. You build, and Aztec handles the cryptography under the hood.
It’s Composable. Private-preserving contracts are not isolated; they can talk to each other and seamlessly blend both private and public state across contracts. Privacy can be preserved across contract calls for full callstack privacy.
No backdoor access. Aztec is the only decentralized L2, and is launching as a fully decentralized rollup with a Layer 1 escape hatch.
It’s Compliant. Companies are missing out on the benefits of blockchains because transparent chains expose user data, while private networks protect it, but still offer fully customizable controls. Now they can build compliant apps that move value around the world instantly.
Developers can explore our privacy primitives across data, identity, and compute and start building with them using the documentation here. Note that this is an early version of the network with known vulnerabilities, see this post for details. While this is the first iteration of the network, there will be several upgrades that secure and harden the network on our path to Beta. If you’d like to learn more about how you can integrate privacy into your project, reach out here.
To hear directly from our Cofounders, join our live from Cannes Q&A on Tuesday, March 31st at 9:30 am ET. Follow us on X to get the latest updates from the Aztec Network.
On Wednesday 17 March 2026 our team discovered a new vulnerability in the Aztec Network. Following the analysis, the vulnerability has been confirmed as a critical vulnerability in accordance with our vulnerability matrix.
The vulnerability affects the proving system as a whole, and is not mitigated via public re-execution by the committee of validators. Exploitation can lead to severe disruption of the protocol and theft of user funds.
In accordance with our policy, fixes for the network will be packaged and distributed with the “v5” release of the network, currently planned for July 2026.
The actual bug and corresponding patch will not be publicly disclosed until “v5.”
Aztec applications and portals bridging assets from Layer 1s should warn users about the security guarantees of Alpha, in particular, reminding users not to put in funds they are not willing to lose. Portals or applications may add additional security measures or training wheels specific to their application or use case.
We will shortly establish a bug tracker to show the number and severity of bugs known to us in v4. The tracker will be updated as audits and security researchers discover issues. Each new alpha release will get its own tracker. This will allow developers and users to judge for themselves how they are willing to use the network, and we will use the tracker as a primary determinant for whether the network is ready for a "Beta" label.
We have identified a vulnerability in barretenberg allowing inclusion of incorrect proofs in the Aztec Network mempool, and ask all nodes to upgrade to versions v.4.1.2 or later.
We’d like to thank Consensys Diligence & TU Vienna for a recent discovery of a separate vulnerability in barretenberg categorized as medium for the network and critical for Noir:
We have published a fixed version of barretenberg.
We’d also like to thank Plainshift AI for discovery, reproduction, and reporting of one more vulnerability in the Aztec Network and their ongoing work to help secure the network.
Decentralization is not just a technical property of the Aztec Network, it is the governing principle.
No single team, company, or individual controls how the network evolves. Upgrades are proposed in public, debated in the open, and approved by the people running the network. Decentralized sequencing, proving, and governance are hard-coded into the base protocol so that no central actor can unilaterally change the rules, censor transactions, or appropriate user value.
The governance framework that makes this possible has three moving parts: Aztec Improvement Proposal (AZIP), Aztec Upgrade Proposal (AZUP), and the onchain vote. Together, they form a pipeline that takes an idea to a live protocol change, with multiple independent checkpoints along the way.
Every upgrade starts with an AZIP. AZIPs are version-controlled design documents, publicly maintained on GitHub, modeled on the same EIP process that has governed Ethereum since its earliest days. Anyone is encouraged to suggest improvements to the Aztec Network protocol spec.
Before a formal proposal is opened, ideas live in GitHub Discussions, an open forum where the community can weigh in, challenge assumptions, and shape the direction of a proposal before it hardens into a spec. This is the virtual town square: the place where the network's future gets debated in public, not decided behind closed doors.
The AZIP framework is what decentralization looks like in practice. Multiple ideas can surface simultaneously, get stress-tested by the community, and the strongest ones naturally rise. Good arguments win, not titles or seniority. The process selects for quality discussion precisely because anyone can participate and everything is visible.
Once an AZIP is formalized as a pull request, it enters a structured lifecycle: Draft, Ready for Discussion, then Accepted or Rejected. Rejected AZIPs are not deleted — they remain permanently in the repository as a record of what was tried and why it was rejected. Nothing gets quietly buried.
Security Considerations are mandatory for all Core, Standard, and Economics AZIPs. Proposals without them cannot pass the Draft stage. Security is structural, not an afterthought.
Once Core Contributors, a merit-based and informal group of active protocol contributors, have reviewed an AZIP and approved it for inclusion, it gets bundled into an AZUP.
An AZUP takes everything an AZIP described and deploys it — a real smart contract, real onchain actions. Each AZUP includes a payload that encodes the exact onchain changes that will occur if the upgrade is approved. Anyone can inspect the payload on a block explorer and see precisely what will change before voting begins.
The payload then goes to sequencers for signaling. Sequencers are the backbone of the network. They propose blocks, attest to state, and serve as the first governance gate for any upgrade. A payload must accumulate enough signals from sequencers within a fixed round to advance. The people actually running the network have to express coordinated support before any change reaches a broader vote.
Once sequencers signal quorum, the proposal moves to tokenholders. Sequencers' staked voting power defaults to "yea" on proposals that came through the signaling path, meaning opposition must be active, not passive. Any sequencer or tokenholder who wants to vote against a proposal must explicitly re-delegate their stake before the voting snapshot is taken. The system rewards genuine engagement from all sides.
For a proposal to pass, it must meet quorum, a supermajority margin, and a minimum participation threshold, all three. If any condition is unmet, the proposal fails.
Even after a proposal passes, it does not execute immediately. A mandatory delay gives node operators time to deploy updated software, allows the community to perform final checks, and reduces the risk of sudden uncoordinated changes hitting the network. If the proposal is not executed within its grace period, it expires.
Failed AZUPs cannot be resubmitted. A new proposal must be created that directly addresses the feedback received. There is no way to simply retry and hope for a different result.
The teams building the network have no special governance power. Sequencers, tokenholders, and Core Contributors are the governing actors, each playing a distinct and non-redundant role.
No single party can force or block an upgrade. Sequencers can withhold signals. Tokenholders can vote nay. Proposals not executed within the grace period expire on their own.
This is decentralization working as intended. The network upgrades not because a team decides it should, but because the people running it agree that it should.
If you want to help shape what Aztec becomes, the forum is open. The proposals are public. The town square is yours.
Follow Aztec on X to stay up to date on the latest developments.
Aztec is novel code — the bleeding edge of cryptography and blockchain technology. As the first decentralized L2 on Ethereum, Aztec is powered by a global network of sequencers and provers. Decentralization introduces some novel challenges in how security is addressed; there is no centralized sequencer to pause or a centralized entity who has power over the network. The rollout of the network reflects this, with distinct goals at each phase.
Ignition
Validate governance and decentralized block building work as intended on Ethereum Mainnet.
Alpha
Enable transactions at 1TPS, ~6s block times and improve the security of the network via continual ongoing audits and bug bounty. New releases of the alpha network are expected regularly to address any security vulnerabilities. Please note, every alpha deployment is distinct and state is not migrated between Alpha releases.
Beta
We will transition to Beta once the network scales to >10 TPS, with reduced block times while ensuring 99.9% uptime. Additionally, the transition requires no critical bugs disclosed via bug bounty in 3 months. State migrations across network releases can be considered.
TL;DR: The roadmap from Ignition to Alpha to Beta is designed to reflect the core team's growing confidence in the network's security.
This phased approach lets us balance ecosystem growth while building security confidence and steadily expanding the community of researchers and tools working to validate the network’s security, soundness and correctness.
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Ultimately, time in production without an exploit is the most reliable indicator of how secure a codebase is.
At the start of Alpha, that confidence is still developing. The core team believes the network is secure enough to support early ecosystem use cases and handle small amounts of value. However this is experimental alpha software and users should not deposit more value than they are willing to lose. Apps may choose to limit deposit amounts to mitigate risk for users.
Audits are ongoing throughout Alpha, with the goal to achieve dual external audits across the entire codebase.
The table below shows current security and audit coverage at the time of writing.
The main bug bounty for the network is not yet live, other than for the non-cryptographic L1 smart contracts as audits are ongoing. We encourage security researchers to responsibly disclose findings in line with our security policy .
As the audits are still ongoing, we expect to discover vulnerabilities in various components. The fixes will be packaged and distributed with the “v5” release.
If we discover a Critical vulnerability in “v4” in accordance with the following severity matrix, which would require the change of verification keys to fix, we will first alert the portal operators to pause deposits and then post a message on the forum, stating that the rollup has a vulnerability.
Aztec uses a hybrid execution model, handling private and public execution separately — and the security considerations differ between them.
As per the audit table above, it is clear that the Aztec Virtual Machine (AVM) has not yet completed its internal and external audits. This is intentional as all AVM execution is public, which allows it to benefit from a “Training Wheel” — the validator re-execution committee.
Every 72 seconds, a collection of newly proposed Aztec blocks are bundled into a "checkpoint" and submitted to L1. With each proposed checkpoint, a committee of 48 staking validators randomly selected from the entire set of validators (presently 3,959) re-execute all txs of all blocks in the checkpoint, and attest to the resulting state roots. 33 out of 48 attestations are required for the checkpoint proposal to be considered valid. The committee and the eventual zk proof must agree on the resultant state root for a checkpoint to be added to the proven chain. As a result, an attacker must control 33/48 of any given committee to exploit any bug in the AVM.
The only time the re-execution committee is not active is during the escape hatch, where the cost to propose a block is set at a level which attempts to quantify the security of the execution training wheel. For this version of the alpha network, this is set a 332M AZTEC, a figure intended to approximate the economic protection the committee normally provides, equivalent to roughly 19% of the un-staked circulating supply at the time of writing. Since the Aztec Foundation holds a significant portion of that supply, the effective threshold is considerably higher in practice.
A key design assumption is that just-in-time bribery of the sequencer committee is impractical and the only ****realistic attack vector is stake acquisition, not bribery.
Assuming a sequencer set size of 4,000 and a committee that rotates each epoch (~38.4mins) from the full sequencer set using a Fisher-Yates shuffle seeded by L1 RANDAO we can see the probability and amount of stake required in the table below.
To achieve a 99% probability of controlling at least one supermajority within 3 days, an attacker would need to control approximately 55.4% of the validator set - roughly 2,215 sequencers representing 443M AZTEC in stake. Assuming an exploit is successful their stake would likely de-value by 70-80%, resulting in an expected economic loss of approximately 332M AZTEC.
To achieve only a 0.5% probability of controlling at least one supermajority within 6 months, an attacker would need to control approximately 33.88% of the validator set.
The practical effect of this training wheel is that the network can exist while there are known security issues with the AVM, as long as the value an attacker would gain from any potential exploit is less than the cost of acquiring 332M AZTEC.
The training wheel allows security researchers to spend more time on the private execution paths that don’t benefit from the training wheel and for the network to be deployed in an alpha version where security researchers can attempt to find additional AVM exploits.
In concrete terms, the training wheel means the Alpha network can reasonably secure value up to around 332M AZTEC (~$6.5M at the time of writing).
Ecosystem builders should keep the above limits in mind, particularly when designing portal contracts that bridge funds into the network.
Portals are the main way value will be bridged into the alpha network, and as a result are also the main target for any exploits. The design of portals can allow the network to secure far higher value. If a portal secures > 332M AZTEC and allows all of its funds to be taken in one withdrawal without any rate limits, delays or pause functionality then it is a target for an AVM exploit attack.
If a portal implements a maximum withdrawal per user, pause functionality or delays for larger withdrawals it becomes harder for an attacker to steal a large quantum of funds in one go.
The Aztec Alpha code is ready to go. The next step is for someone in the community to submit a governance proposal and for the network to vote on enabling transactions. This is decentralization working as intended.
Once live, Alpha will run at 1 TPS with roughly 6 second block times. Audits are still ongoing across several components, so keep deposits small and only put in what you're comfortable losing.
On the security side, a 48-validator re-execution committee provides the main protection during Alpha, requiring 33/48 consensus on every 72-second checkpoint. Successfully attacking the AVM would require controlling roughly 55% of the validator set at a cost of around 332M AZTEC, putting the practical security ceiling at approximately $6.5M.
Alpha is about growing the ecosystem, expanding the security of the network, and accumulating the one thing no audit can shortcut: time in production. This is the network maturing in exactly the way it was designed to as it progresses toward Beta.
The Ignition Chain launched late last year, as the first fully decentralized L2 on Ethereum– a huge milestone for decentralized networks. The team has reinvented what true programmable privacy means, building the execution model from the ground up— combining the programmability of Ethereum with the privacy of Zcash in a single execution environment.
Since then, the network has been running with zero downtime with 3,500+ sequencers and 50+ provers across five continents. With the infrastructure now in place, the network is fully in the hands of the community, and the culmination of the past 8 years of work is now converging.
Major upgrades have landed across four tracks: the execution layer, the proving system, the programming language, Noir, and the decentralization stack. Together, these milestones deliver on Aztec’s original promise, a system where developers can write fully programmable smart contracts with customizable privacy.
The infrastructure is in place. The code is ready. And we’re ready to ship.
The execution layer delivers on Aztec's core promise: fully programmable, privacy-preserving smart contracts on Ethereum.
A complete dual state model is now in place–with both private and public state. Private functions execute client-side in the Private Execution Environment (PXE), running directly in the user's browser and generating zero-knowledge proofs locally, so that private data never leaves the original device. Public functions execute on the Aztec Virtual Machine (AVM) on the network side.
Aztec.js is now live, giving developers a full SDK for managing accounts and interacting with contracts. Native account abstraction has been implemented, meaning every account is a smart contract with customizable authentication rules. Note discovery has been solved through a tagging mechanism, allowing recipients to efficiently query for relevant notes without downloading and decrypting everything on the network.
Contract standards are underway, with the Wonderland team delivering AIP-20 for tokens and AIP-721 for NFTs, along with escrow contracts and logic libraries, providing the production-ready building blocks for the Alpha Network.
The proving system is what makes Aztec's privacy guarantees real, and it has deep roots.
In 2019, Aztec's cofounder Zac Williamson and Chief Scientist Ariel Gabizon introduced PLONK, which became one of the most widely used proving systems in zero-knowledge cryptography. Since then, Aztec's cryptographic backend, Barretenberg, has evolved through multiple generations, each facilitating faster, lighter, and more efficient proving than the last. The latest innovation, CHONK (Client-side Highly Optimized ploNK), is purpose-built for proving on phones and browsers and is what powers proof generation for the Alpha Network.
CHONK is a major leap forward for the user experience, dramatically reducing the memory and time required to generate proofs on consumer devices. It leverages best-in-class circuit primitives, a HyperNova-style folding scheme for efficiently processing chains of private function calls, and Goblin, a hyper-efficient purpose-built recursion acceleration scheme. The result is that private transactions can be proven on the devices people actually use, not just powerful servers.
This matters because privacy on Aztec means proofs are generated on the user's own device, keeping private data private. If proving is too slow or too resource-intensive, privacy becomes impractical. CHONK makes it practical.
Decentralization is what makes Aztec's privacy guarantees credible. Without it, a central operator could censor transactions, introduce backdoors, or compromise user privacy at will.
Aztec addressed this by hardcoding decentralized sequencing, proving, and governance directly into the base protocol. The Ignition Chain has proven the stability of this consensus layer, maintaining zero downtime with over 3,500 sequencers and 50+ provers running across five continents. Aztec Labs and the Aztec Foundation run no sequencers and do not participate in governance.
Noir 1.0 is nearing completion, bringing a stable, production-grade language within reach. Aztec's own protocol circuits have been entirely rewritten in Noir, meaning the language is already battle-tested at the deepest layer of the stack.
Internal and external audits of the compiler and toolchain are progressing in parallel, and security tooling including fuzzers and bytecode parsers is nearly finished. A stable, audited language means application teams can build on Alpha with confidence that the foundation beneath them won't shift.
The code for Alpha Network, a functionally complete and raw version of the network, is ready.
The Alpha Network brings fully programmable, privacy-preserving smart contracts to Ethereum for the first time. It's the culmination of years of parallel work across the four tracks in the Aztec Roadmap. Together, they enable efficient client-side proofs that power customizable smart contracts, letting users choose exactly what stays private and what goes public.
No other project in the space is close to shipping this.
The code is written. The network is running. All the pieces are in place. The governance proposal is now live on the forum and open for discussion. Read through it, ask questions, poke holes, and help shape the path forward.
Once the community is aligned, the proposal moves to a vote. This is how a decentralized network upgrades. Not by a team pushing a button, but by the people running it.
Programmable privacy will unlock a renaissance in onchain adoption. Real-world applications are coming and institutions are paying attention. Alpha represents the culmination of eight years of intense work to deliver privacy on Ethereum.
Now it needs to be battle-tested in the wild.
View the updated product roadmap here and join us on Thursday, March 5th, at 3 pm UTC on X to hear more about the most recent updates to our product roadmap.
Alpha is live: a fully feature-complete, privacy-first network. The infrastructure is in place, privacy is native to the protocol, and developers can now build truly private applications.
Nine years ago, we set out to redesign blockchain for privacy. The goal: create a system institutions can adopt while giving users true control of their digital lives. Privacy band-aids are coming to Ethereum (someday), but it’s clear we need privacy now, and there’s an arms race underway to build it. Privacy is complex, it’s not a feature you can bolt-on as an afterthought. It demands a ground-up approach, deep tech stack integration, and complete decentralization.
In November 2025, the Aztec Ignition Chain went live as the first decentralized L2 on Ethereum, it’s the coordination layer that the execution layer sits on top of. The network is not operated by the Aztec Labs or the Aztec Foundation, it’s run by the community, making it the true backbone of Aztec.
With the infrastructure in place and a unanimous community vote, the network enters Alpha.
Alpha is the first Layer 2 with a full execution environment for private smart contracts. All accounts, transactions, and the execution itself can be completely private. Developers can now choose what they want public and what they want to keep private while building with the three privacy pillars we have in place across data, identity, and compute.
These privacy pillars, which can be used individually or combined, break down into three core layers:
Alpha is feature complete–meaning this is the only full-stack solution for adding privacy to your business or application. You build, and Aztec handles the cryptography under the hood.
It’s Composable. Private-preserving contracts are not isolated; they can talk to each other and seamlessly blend both private and public state across contracts. Privacy can be preserved across contract calls for full callstack privacy.
No backdoor access. Aztec is the only decentralized L2, and is launching as a fully decentralized rollup with a Layer 1 escape hatch.
It’s Compliant. Companies are missing out on the benefits of blockchains because transparent chains expose user data, while private networks protect it, but still offer fully customizable controls. Now they can build compliant apps that move value around the world instantly.
Developers can explore our privacy primitives across data, identity, and compute and start building with them using the documentation here. Note that this is an early version of the network with known vulnerabilities, see this post for details. While this is the first iteration of the network, there will be several upgrades that secure and harden the network on our path to Beta. If you’d like to learn more about how you can integrate privacy into your project, reach out here.
To hear directly from our Cofounders, join our live from Cannes Q&A on Tuesday, March 31st at 9:30 am ET. Follow us on X to get the latest updates from the Aztec Network.
The Ignition Chain launched late last year, as the first fully decentralized L2 on Ethereum– a huge milestone for decentralized networks. The team has reinvented what true programmable privacy means, building the execution model from the ground up— combining the programmability of Ethereum with the privacy of Zcash in a single execution environment.
Since then, the network has been running with zero downtime with 3,500+ sequencers and 50+ provers across five continents. With the infrastructure now in place, the network is fully in the hands of the community, and the culmination of the past 8 years of work is now converging.
Major upgrades have landed across four tracks: the execution layer, the proving system, the programming language, Noir, and the decentralization stack. Together, these milestones deliver on Aztec’s original promise, a system where developers can write fully programmable smart contracts with customizable privacy.
The infrastructure is in place. The code is ready. And we’re ready to ship.
The execution layer delivers on Aztec's core promise: fully programmable, privacy-preserving smart contracts on Ethereum.
A complete dual state model is now in place–with both private and public state. Private functions execute client-side in the Private Execution Environment (PXE), running directly in the user's browser and generating zero-knowledge proofs locally, so that private data never leaves the original device. Public functions execute on the Aztec Virtual Machine (AVM) on the network side.
Aztec.js is now live, giving developers a full SDK for managing accounts and interacting with contracts. Native account abstraction has been implemented, meaning every account is a smart contract with customizable authentication rules. Note discovery has been solved through a tagging mechanism, allowing recipients to efficiently query for relevant notes without downloading and decrypting everything on the network.
Contract standards are underway, with the Wonderland team delivering AIP-20 for tokens and AIP-721 for NFTs, along with escrow contracts and logic libraries, providing the production-ready building blocks for the Alpha Network.
The proving system is what makes Aztec's privacy guarantees real, and it has deep roots.
In 2019, Aztec's cofounder Zac Williamson and Chief Scientist Ariel Gabizon introduced PLONK, which became one of the most widely used proving systems in zero-knowledge cryptography. Since then, Aztec's cryptographic backend, Barretenberg, has evolved through multiple generations, each facilitating faster, lighter, and more efficient proving than the last. The latest innovation, CHONK (Client-side Highly Optimized ploNK), is purpose-built for proving on phones and browsers and is what powers proof generation for the Alpha Network.
CHONK is a major leap forward for the user experience, dramatically reducing the memory and time required to generate proofs on consumer devices. It leverages best-in-class circuit primitives, a HyperNova-style folding scheme for efficiently processing chains of private function calls, and Goblin, a hyper-efficient purpose-built recursion acceleration scheme. The result is that private transactions can be proven on the devices people actually use, not just powerful servers.
This matters because privacy on Aztec means proofs are generated on the user's own device, keeping private data private. If proving is too slow or too resource-intensive, privacy becomes impractical. CHONK makes it practical.
Decentralization is what makes Aztec's privacy guarantees credible. Without it, a central operator could censor transactions, introduce backdoors, or compromise user privacy at will.
Aztec addressed this by hardcoding decentralized sequencing, proving, and governance directly into the base protocol. The Ignition Chain has proven the stability of this consensus layer, maintaining zero downtime with over 3,500 sequencers and 50+ provers running across five continents. Aztec Labs and the Aztec Foundation run no sequencers and do not participate in governance.
Noir 1.0 is nearing completion, bringing a stable, production-grade language within reach. Aztec's own protocol circuits have been entirely rewritten in Noir, meaning the language is already battle-tested at the deepest layer of the stack.
Internal and external audits of the compiler and toolchain are progressing in parallel, and security tooling including fuzzers and bytecode parsers is nearly finished. A stable, audited language means application teams can build on Alpha with confidence that the foundation beneath them won't shift.
The code for Alpha Network, a functionally complete and raw version of the network, is ready.
The Alpha Network brings fully programmable, privacy-preserving smart contracts to Ethereum for the first time. It's the culmination of years of parallel work across the four tracks in the Aztec Roadmap. Together, they enable efficient client-side proofs that power customizable smart contracts, letting users choose exactly what stays private and what goes public.
No other project in the space is close to shipping this.
The code is written. The network is running. All the pieces are in place. The governance proposal is now live on the forum and open for discussion. Read through it, ask questions, poke holes, and help shape the path forward.
Once the community is aligned, the proposal moves to a vote. This is how a decentralized network upgrades. Not by a team pushing a button, but by the people running it.
Programmable privacy will unlock a renaissance in onchain adoption. Real-world applications are coming and institutions are paying attention. Alpha represents the culmination of eight years of intense work to deliver privacy on Ethereum.
Now it needs to be battle-tested in the wild.
View the updated product roadmap here and join us on Thursday, March 5th, at 3 pm UTC on X to hear more about the most recent updates to our product roadmap.
Privacy has emerged as a major driver for the crypto industry in 2025. We’ve seen the explosion of Zcash, the Ethereum Foundation’s refocusing of PSE, and the launch of Aztec’s testnet with over 24,000 validators powering the network. Many apps have also emerged to bring private transactions to Ethereum and Solana in various ways, and exciting technologies like ZKPassport that privately bring identity on-chain using Noir have become some of the most talked about developments for ushering in the next big movements to the space.
Underpinning all of these developments is the emerging consensus that without privacy, blockchains will struggle to gain real-world adoption.
Without privacy, institutions can’t bring assets on-chain in a compliant way or conduct complex swaps and trades without revealing their strategies. Without privacy, DeFi remains dominated and controlled by advanced traders who can see all upcoming transactions and manipulate the market. Without privacy, regular people will not want to move their lives on-chain for the entire world to see every detail about their every move.
While there's been lots of talk about privacy, few can define it. In this piece we’ll outline the three pillars of privacy and gives you a framework for evaluating the privacy claims of any project.
True privacy rests on three essential pillars: transaction privacy, identity privacy, and computational privacy. It is only when we have all three pillars that we see the emergence of a private world computer.
Transaction privacy means that both inputs and outputs are not viewable by anyone other than the intended participants. Inputs include any asset, value, message, or function calldata that is being sent. Outputs include any state changes or transaction effects, or any transaction metadata caused by the transaction. Transaction privacy is often primarily achieved using a UTXO model (like Zcash or Aztec’s private state tree). If a project has only the option for this pillar, it can be said to be confidential, but not private.
Identity privacy means that the identities of those involved are not viewable by anyone other than the intended participants. This includes addresses or accounts and any information about the identity of the participants, such as tx.origin, msg.sender, or linking one’s private account to public accounts. Identity privacy can be achieved in several ways, including client-side proof generation that keeps all user info on the users’ devices. If a project has only the option for this pillar, it can be said to be anonymous, but not private.
Computation privacy means that any activity that happens is not viewable by anyone other than the intended participants. This includes the contract code itself, function execution, contract address, and full callstack privacy. Additionally, any metadata generated by the transaction is able to be appropriately obfuscated (such as transaction effects, events are appropriately padded, inclusion block number are in appropriate sets). Callstack privacy includes which contracts you call, what functions in those contracts you’ve called, what the results of those functions were, any subsequent functions that will be called after, and what the inputs to the function were. A project must have the option for this pillar to do anything privately other than basic transactions.
Bitcoin ushered in a new paradigm of digital money. As a permissionless, peer-to-peer currency and store of value, it changed the way value could be sent around the world and who could participate. Ethereum expanded this vision to bring us the world computer, a decentralized, general-purpose blockchain with programmable smart contracts.
Given the limitations of running a transparent blockchain that exposes all user activity, accounts, and assets, it was clear that adding the option to preserve privacy would unlock many benefits (and more closely resemble real cash). But this was a very challenging problem. Zcash was one of the first to extend Bitcoin’s functionality with optional privacy, unlocking a new privacy-preserving UTXO model for transacting privately. As we’ll see below, many of the current privacy-focused projects are working on similar kinds of private digital money for Ethereum or other chains.
Now, Aztec is bringing us the final missing piece: a private world computer.
A private world computer is fully decentralized, programmable, and permissionless like Ethereum and has optional privacy at every level. In other words, Aztec is extending all the functionality of Ethereum with optional transaction, identity, and computational privacy. This is the only approach that enables fully compliant, decentralized applications to be built that preserve user privacy, a new design space that we see as ushering in the next Renaissance for the space.
Private digital money emerges when you have the first two privacy pillars covered - transactions and identity - but you don’t have the third - computation. Almost all projects today that claim some level of privacy are working on private digital money. This includes everything from privacy pools on Ethereum and L2s to newly emerging payment L1s like Tempo and Arc that are developing various degrees of transaction privacy
When it comes to digital money, privacy exists on a spectrum. If your identity is hidden but your transactions are visible, that's what we call anonymous. If your transactions are hidden but your identity is known, that's confidential. And when both your identity and transactions are protected, that's true privacy. Projects are working on many different approaches to implement this, from PSE to Payy using Noir, the zkDSL built to make it intuitive to build zk applications using familiar Rust-like syntax.
Private digital money is designed to make payments private, but any interaction with more complex smart contracts than a straightforward payment transaction is fully exposed.
What if we also want to build decentralized private apps using smart contracts (usually multiple that talk to each other)? For this, you need all three privacy pillars: transaction, identity, and compute.
If you have these three pillars covered and you have decentralization, you have built a private world computer. Without decentralization, you are vulnerable to censorship, privileged backdoors and inevitable centralized control that can compromise privacy guarantees.
What exactly is a private world computer? A private world computer extends all the functionality of Ethereum with optional privacy at every level, so developers can easily control which aspects they want public or private and users can selectively disclose information. With Aztec, developers can build apps with optional transaction, identity, and compute privacy on a fully decentralized network. Below, we’ll break down the main components of a private world computer.
A private world computer is powered by private smart contracts. Private smart contracts have fully optional privacy and also enable seamless public and private function interaction.
Private smart contracts simply extend the functionality of regular smart contracts with added privacy.
As a developer, you can easily designate which functions you want to keep private and which you want to make public. For example, a voting app might allow users to privately cast votes and publicly display the result. Private smart contracts can also interact privately with other smart contracts, without needing to make it public which contracts have interacted.
Transaction: Aztec supports the optionality for fully private inputs, including messages, state, and function calldata. Private state is updated via a private UTXO state tree.
Identity: Using client-side proofs and function execution, Aztec can optionally keep all user info private, including tx.origin and msg.sender for transactions.
Computation: The contract code itself, function execution, and call stack can all be kept private. This includes which contracts you call, what functions in those contracts you’ve called, what the results of those functions were, and what the inputs to the function were.
A decentralized network must be made up of a permissionless network of operators who run the network and decide on upgrades. Aztec is run by a decentralized network of node operators who propose and attest to transactions. Rollup proofs on Aztec are also run by a decentralized prover network that can permissionlessly submit proofs and participate in block rewards. Finally, the Aztec network is governed by the sequencers, who propose, signal, vote, and execute network upgrades.
A private world computer enables the creation of DeFi applications where accounts, transactions, order books, and swaps remain private. Users can protect their trading strategies and positions from public view, preventing front-running and maintaining competitive advantages. Additionally, users can bridge privately into cross-chain DeFi applications, allowing them to participate in DeFi across multiple blockchains while keeping their identity private despite being on an existing transparent blockchain.
This technology makes it possible to bring institutional trading activity on-chain while maintaining the privacy that traditional finance requires. Institutions can privately trade with other institutions globally, without having to touch public markets, enjoying the benefits of blockchain technology such as fast settlement and reduced counterparty risk, without exposing their trading intentions or volumes to the broader market.
Organizations can bring client accounts and assets on-chain while maintaining full compliance. This infrastructure protects on-chain asset trading and settlement strategies, ensuring that sophisticated financial operations remain private. A private world computer also supports private stablecoin issuance and redemption, allowing financial institutions to manage digital currency operations without revealing sensitive business information.
Users have granular control over their privacy settings, allowing them to fine-tune privacy levels for their on-chain identity according to their specific needs. The system enables selective disclosure of on-chain activity, meaning users can choose to reveal certain transactions or holdings to regulators, auditors, or business partners while keeping other information private, meeting compliance requirements.
The shift from transparent blockchains to privacy-preserving infrastructure is the foundation for bringing the next billion users on-chain. Whether you're a developer building the future of private DeFi, an institution exploring compliant on-chain solutions, or simply someone who believes privacy is a fundamental right, now is the time to get involved.
Follow Aztec on X to stay updated on the latest developments in private smart contracts and decentralized privacy technology. Ready to contribute to the network? Run a node and help power the private world computer.
The next Renaissance is here, and it’s being powered by the private world computer.
Aztec’s Public Testnet launched in May 2025.
Since then, we’ve been obsessively working toward our ultimate goal: launching the first fully decentralized privacy-preserving layer-2 (L2) network on Ethereum. This effort has involved a team of over 70 people, including world-renowned cryptographers and builders, with extensive collaboration from the Aztec community.
To make something private is one thing, but to also make it decentralized is another. Privacy is only half of the story. Every component of the Aztec Network will be decentralized from day one because decentralization is the foundation that allows privacy to be enforced by code, not by trust. This includes sequencers, which order and validate transactions, provers, which create privacy-preserving cryptographic proofs, and settlement on Ethereum, which finalizes transactions on the secure Ethereum mainnet to ensure trust and immutability.
Strong progress is being made by the community toward full decentralization. The Aztec Network now includes nearly 1,000 sequencers in its validator set, with 15,000 nodes spread across more than 50 countries on six continents. With this globally distributed network in place, the Aztec Network is ready for users to stress test and challenge its resilience.
We're now entering a new phase: the Adversarial Testnet. This stage will test the resilience of the Aztec Testnet and its decentralization mechanisms.
The Adversarial Testnet introduces two key features: slashing, which penalizes validators for malicious or negligent behavior in Proof-of-Stake (PoS) networks, and a fully decentralized governance mechanism for protocol upgrades.
This phase will also simulate network attacks to test its ability to recover independently, ensuring it could continue to operate even if the core team and servers disappeared (see more on Vitalik’s “walkaway test” here). It also opens the validator set to more people using ZKPassport, a private identity verification app, to verify their identity online.
The Aztec Network testnet is decentralized, run by a permissionless network of sequencers.
The slashing upgrade tests one of the most fundamental mechanisms for removing inactive or malicious sequencers from the validator set, an essential step toward strengthening decentralization.
Similar to Ethereum, on the Aztec Network, any inactive or malicious sequencers will be slashed and removed from the validator set. Sequencers will be able to slash any validator that makes no attestations for an entire epoch or proposes an invalid block.
Three slashes will result in being removed from the validator set. Sequencers may rejoin the validator set at any time after getting slashed; they just need to rejoin the queue.
In addition to testing network resilience when validators go offline and evaluating the slashing mechanisms, the Adversarial Testnet will also assess the robustness of the network’s decentralized governance during protocol upgrades.
Adversarial Testnet introduces changes to Aztec Network’s governance system.
Sequencers now have an even more central role, as they are the sole actors permitted to deposit assets into the Governance contract.
After the upgrade is defined and the proposed contracts are deployed, sequencers will vote on and implement the upgrade independently, without any involvement from Aztec Labs and/or the Aztec Foundation.
Starting today, you can join the Adversarial Testnet to help battle-test Aztec’s decentralization and security. Anyone can compete in six categories for a chance to win exclusive Aztec swag, be featured on the Aztec X account, and earn a DappNode. The six challenge categories include:
Performance will be tracked using Dashtec, a community-built dashboard that pulls data from publicly available sources. Dashtec displays a weighted score of your validator performance, which may be used to evaluate challenges and award prizes.
The dashboard offers detailed insights into sequencer performance through a stunning UI, allowing users to see exactly who is in the current validator set and providing a block-by-block view of every action taken by sequencers.
To join the validator set and start tracking your performance, click here. Join us on Thursday, July 31, 2025, at 4 pm CET on Discord for a Town Hall to hear more about the challenges and prizes. Who knows, we might even drop some alpha.
To stay up-to-date on all things Noir and Aztec, make sure you’re following along on X.
In blockchain narrative, the term “zero knowledge” entered our vocabulary when rollups first emerged. In particular, we’ve heard it a lot in the context of zero knowledge rollups (ZK-rollups). But, zero knowledge technology has existed for years before. The first article on zero knowledge was published back in 1989.
In this blog, we’ll break it down to clarify what zero knowledge (ZK) is and what it ISN’T (the latter might actually be more interesting than the former). We’ll investigate if ZK-rollups have any ZK for real, and if not, why they get to use the term at all, and dive into the difference between ZK as a technology and ZK as a marketing term.
For those who need answers right away:
*by privacy we mean (i) user privacy (transaction sender and recipient), (ii) data privacy (payload of the transaction, e.g., the asset or value being transacted), and (iii) code privacy (the program logic).
Now let’s dive a bit deeper.
If we want to discuss ZK in a rollup context, we first need to understand zero knowledge property on its own. As we mentioned above, the concept of ZK was introduced in 1989 (years before the first blockchain was baked) in a paper titled, “The knowledge complexity of interactive proof systems.” It wasn’t until around 2018 that the Ethereum community figured out ZK might be a good fit for a rollup universe.
We usually consider zero knowledge as a property of a proving system. In blockchain, we often say ZKP, meaning zero knowledge proof. But “proof” might mean proof of statement or proof of knowledge. So, in the next section of this article, we will differentiate between the two types of proofs.
Proof of statement proves that a statement is true without revealing anything about the statement itself.
Examples of statements:
Proof of knowledge proves that the person making an assertion has some knowledge about the statement.
So, if we look at the examples from the previous paragraph side-by-side:
Proof of StatementProof of Knowledgez is a square modular n: z = x^2 mod n.I know a value x such that z = x^2 (mod n).The graphs G and H are non-isomorphic.I know the isomorphism between two graphs, G and H.The number 638634389........3427 has 3 prime factors.I know the factors of the number 638634389........3427.
One should note that every proof of knowledge is a proof of statement (but not the opposite). For instance, if one proves that they know a value x such that z = x^2 (mod n), this will be proof of knowledge, but it also automatically proves that z is a square modulo n (proof of statement).
Let’s explore one of these examples to see how proof of statement and proof of knowledge can be constructed!
Let’s use the graph-isomorphism problem. To do this, we’ll say proof of graph non-isomorphism will be proof of statement, while a proof of graph isomorphism will be proof of knowledge.
Basically graph isomorphism (denoted by ≅) is the following: two graphs with labeled nodes are isomorphic if they are "the same" up to a permutation of the labels. That is to say, there exists a permutation of the labels of one graph that results in the other graph.
More formally, we say that two graphs G and H are isomorphic if there is a bijective function f between the vertices’ labels of G and H such that there is an edge between the vertices u and v in G if and only if there is an edge between the vertices f(u) and f(v) in H.
An example of two isomorphic graphs:
If there exists no such permutation, we say that the two graphs are non-isomorphic. Now, assume we want to prove that two graphs are non-isomorphic. We only want to prove this single fact; nothing about the graphs themselves, no other knowledge except for the statement that they are non-isomorphic.
Proof intuition:
One round of protocol:
Now, let’s think… What if we want to prove two graphs are isomorphic? In other words, the Prover wants to prove that they know the isomorphism σ such that H = σ(G).
Proof intuition:
One round of protocol:
Now that we’ve explored examples of proof of statement and proof of knowledge, let’s discuss whether or not they have zero knowledge property.
Informally, zero knowledge means that a Verifier can’t retrieve any additional information from a Prover (except for the information clear from the proof itself).
In the example of graph isomorphism, proof of knowledge is zero knowledge (with honest Verifier). According to the protocol, the Prover doesn’t reveal any information on the isomorphism or permutation to the Verifier. Instead, they send the Verifier commitments and that’s it.
However, in the example of the proof of graph non-isomorphism, it’s not zero knowledge. Because, instead of setting K = π(G) or K = π(H), a malicious Verifier (i.e. a Verifier which deviates from the protocol) can set K = π{RANDOM GRAPH} and as a result of the protocol execution by the Prover, the Verifier will know if RANDOM_GRAPH is isomorphic to either G or H. So the Verifier is definitely able to retrieve additional information.
Can we convert our proof of graph non-isomorphism into zero knowledge? Yes, we can. The Verifier should also provide proof that (i) the graph it sends is isomorphic either to G or to H (meaning the graph they’re sending is not arbitrary), and (ii) they know the isomorphism.
One should note that most protocols in the space are only honest-verifier ZK (i.e. ZK property doesn’t hold with malicious verifier). However, this isn’t an issue because the protocols are made non-interactive with the Fiat-Shamir heuristic. Hence – there is no distinction for non-interactive protocols as the verifier cannot "misbehave.”
Now, when we differentiated between proof of statement and proof of knowledge and saw that both of them can have zero knowledge property or not have it, let’s take a look at ZK-rollup and figure out (i) does it use proof of statement or proof of knowledge, (ii) does it have zero knowledge property?
In a ZK-rollups, the logic is pretty similar to the graph-non-isomorphism problem (where we prove the statement that two graphs are non-isomorphic). In ZK-rollup, we prove the statement that the state transition was done correctly.
In this section, we’ll briefly cover how ZK-rollups work and how they utilize proofs. By “ZK-rollups,'' we mean regular (i.e. NON-privacy-preserving) ZK-rollups such as Scroll, Starknet, zksync, Taiko, and many more.
The main use of “vanilla” ZK-rollups is to enable scalability by posting a single proof of the validity of transactions.
ZK-rollups execute transactions off-chain and post proof on L1 (Ethereum) that whatever they did off-chain was done correctly. Their purpose is to prove that the new chain state is correct.
To generate a proof of correct state transition, one needs to prove that all transactions were executed correctly on given inputs.
For the sake of this, the Prover needs to know previous state and input values.
However, for the Verifier to verify the proof, they need to have the proof as well as to know new state, previous state, and input values:
There are two types of inputs, public and private. In ZK-rollups, “private input” does NOT mean “secret” even though they are called “private.” Instead, it means that private inputs are consumed by Prover only while public inputs are consumed both by Prover and Verifier (sometimes private inputs are also called “witness” as a reference to the NP complexity class). Public inputs are expensive as they need to be submitted to L1 hence we want it to be as small (“succinct”) as possible. In terms of what these inputs consist of in the context of the proof:
Public inputs (consumed by Prover AND Verifier) – all data that needs to be submitted to L1 so that everyone can update their records of the current state. This will include new state root as well as might include signatures, sender, receiver, functions, contract addresses, function arguments, newly-deployed contract data, storage slots which have changed and their new values, events that were emitted. One should note that this reveals A LOT of information to a public observer. The specific list of public inputs will depend on the specific ZK-rollup design.
Private inputs (consumed by Prover ONLY) – all information that was needed by rollup circuits to prove correctness of the state transition. This will include Merkle membership proofs (hash paths) as well as the execution trace (might include transaction inputs such as newly-deployed contract data, storage slots which have changed and their new values, and events that were emitted).
As you can see from the logic above, private inputs have nothing to do with privacy. So if a ZK-rollup is generating a proof that Alice sent Bob 1ETH, both the Prover and the Verifier will be aware of this information (i.e. no privacy at all!).
To sum it up, in the case of a ZK-rollup, we want to prove the validity of transactions, it is a proof of statement and it does NOT have zero-knowledge property because all the information (i.e. state, functions, inputs) is public and everything that is not provided explicitly can be derived by a Verifier.
That is to say, there is no ZK in a vanilla ZK-rollup. Why is it called ZK-rollup then?
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Maybe… For the sake of marketing =)
Short answer: yes, it can. While the main use of “vanilla” ZK-rollups is to enable scalability, the main use of Aztec is to enable scalability AND allow privacy. And, it utilizes ZK exactly for the privacy purpose.
Aztec provides privacy by means of client-side proof generation, i.e. whatever should be processed privately is processed on the user’s device and then a proof of its correct execution is supplied to the mempool.
Processed privately means that
Client-side proofs are then verified by the sequencer (who manages the mempool).
In this case, client-side proof is a zero knowledge proof of statement: the sequencer verifies the proof validity without any information about what was executed on the client-side, and is unable to retrieve any information about it.
After client-side proofs have been verified by the sequencer, everything is similar to a vanilla ZK-rollup mechanism as described in the previous section. That is to say, Aztec ZK-rollup first generates a number of client-side proofs (which are zero knowledge proofs) and then a block proof (which is not zero knowledge).
It’s not possible to add privacy ad-hoc to an already existing ZK-rollup. It should be designed to be private from the very beginning.
One first needs to give a precise definition of “privacy” as the statements proved, depending on the rollup design, may reveal unnecessary information and harm user privacy.
If builders want their dApps to interact with the external world; meaning that dApps aren’t monolithically private but instead allow some functions and variables to be private while some functions and variables stay public (e.g. necessary for AMMs, lending protocols, etc.), rollup state management becomes very non-trivial. Now it has to process public and private state updates separately. However, it’s exactly the latter approach that unlocks dozens of use cases we’ve been dreaming about for years! (Think programmable on-chain identity management and DeFi alternatives to conservative financial institutions).
As of today, Aztec is one of very few privacy-preserving L2s on Ethereum where privacy is provided by processing private information on the client-side. Check out this article to dive into client-side proof generation and this article to learn more about Aztec smart contracts anatomy allowing for hybrid private and public state management.
Ready to join Aztec’s building pioneers? Let us know by filling out this form.
Many thanks to Palla, Patrick, and Brecht for review.
In the ever-evolving landscape of digital privacy, the power of Zero-Knowledge Proofs (ZKPs) is revolutionizing how we protect and prove information. Noir, a leading language for privacy-first programmable privacy, is at the forefront of this innovation and is calling on you to help us enhance provable emails using Noir. This research campaign (NCR#1), running from August 8th - 25th, 2024 presents a unique opportunity to push the boundaries of privacy while creating novel solutions for secure email verification.
The rise of Programmable Cryptography and Zero-Knowledge Proofs offers unprecedented potential for trustless and private verification of information, cryptographically bridging data across silos. Imagine a world where you can prove ownership of an email address or an email received without revealing its content or personal details. This capability is not just a theoretical possibility, but a practical reality waiting to be unlocked through advanced research and development.
Aztec Labs has been a strong supporter of this vision, particularly with the ZK Email team's pioneering work. As a part of these continued efforts, we invite researchers, developers, tech enthusiasts, and anyone with creative ideas to propose a two-month research plan that explores ways to leverage Noir (and Aztec) to augment this work and its broader vision.
We’re looking for proposals focused on building end-user-oriented projects, including MVPs. Proposals focused on building developer tooling and technical/cryptography research are also welcome as long as their relevance to zkEmail is clear.
Multiple submissions are welcomed, however, to be considered, your proposal must meet the following criteria:
To participate, please head to our GitHub and submit your proposal using the following format:
Proposal submissions are open now and will close on August 25th, 2024. Our selection committee will pick two proposals that will receive up to US$40,000 in grants. Winners will be announced before September 5th, 2024, via GitHub Discussions and X.
Click here to get started on your proposal today.
We believe in the value of the real-world impact of top-tier research.
To ensure the security and quality of applying research outcomes, we’re onboarding audit partners to sponsor and provide auditing for the final implementations of selected proposals. Potential audit partners will be evaluated up to August 20th, 2024, and announced on GitHub by August 31st, 2024.
To learn more about how to get involved, please contact Savio or Lisa.
Join us in pioneering the future of privacy-first communication. Submit your proposal and be part of this transformative journey with Noir!
Special thanks to Palla, James Zaki, and Emmanuel Batse for the review.
Disclaimer: if you’re familiar with Account Abstraction and are curious about how it works on Aztec, go right to the section “The most abstract Account Abstraction”.
Account Abstraction context
What is AA and why did the Ethereum community give it this name?
Note: the second option is sometimes also referred to as “contract wallets” or “smart accounts”.
The story of Account Abstraction
AA on Ethereum
The discussions around AA on Ethereum started around 2017. There were a number of EIPs and ERCs proposing different versions of AA (e.g. EIP-86, suggesting abstraction of transaction origin and signature, EIP-1014, and EIP-2938) that were explored and discussed but ultimately rejected, so we won’t cover them in this piece.
The first ERC affiliated with AA that made it to Ethereum mainnet was ERC-4337 (deployed on Mainnet in March 2023). It introduced AA without any modifications to the core protocol. It achieved this by replicating the functionality of the transactions mempool in a higher-level system. Instead of transactions, users send UserOperation objects to relayers, and these relayers package a set of these objects into a single standard transaction that is sent to Ethereum nodes.
Since then, the community has argued whether ERC-4337 is the Ethereum AA endgame or not. Right now, there is a dispute around EIP-3074 in the next Ethereum protocol upgrade. It suggests AUTH and AUTHCALL opcodes, which allow EOAs to delegate execution to smart contracts. However, one should note that the transaction validity still relies on EOAs’ ECDSA signature (i.e. ECDSA signature becomes enshrined).
This EIP is not new and some ecosystem players have discussed it being complementary to ERC-4337. The core question is what’s the more urgent problem for Ethereum to solve – censorship-resistance (against EIP-3074) or user experience (for EIP-3074)?
As Ethereum follows the rollup-centric roadmap, we expect most activity to happen on Ethereum L2s. As L2s technically don’t depend on Ethereum, they can implement AA on their own by introducing appropriate opcodes.
Some L2s have chosen a native AA “feature” as one of their core value propositions and implemented native AA (among those zkSync, StarkNet, and Aztec). In particular, this means that a transaction can be initiated directly by a smart contract (i.e. without any reliance on EOA).
As a comparison, in ERC-4337, AA is not native, as there is a step in the tx flow where an EOA account is engaged (as a Bundler).
As an alternative to enshrining AA in Ethereum, the Rollup Improvement Proposal (RIP) was proposed. RIP is a way to facilitate L2 standardization (not only around AA but around other L2 aspects as well). RIP-7560 is a native version of ERC-4337 for L2 chains currently under discussion. Check a series of RollCalls to learn more.
The most abstract Account Abstraction
While we talk about “arbitrary verification logic” describing the intuition behind AA, the logic is not really arbitrary. The verification logic (i.e. what can be checked as an authorization) is limited to make the verification time fast and bounded. That is the case for all chains where transaction validity is checked by the sequencer. Otherwise, it will cause UX downfall, whereas the main reason behind introducing AA is UX improvement.
On Aztec, there is no limitation on verification logic, as transaction validity check is executed client-side and a proof of validity is supplied to the sequencer. The sequencer only verifies the proof and this process is independent of the verification logic complexity.
This unlocks a whole universe of new use cases and optimization of existing ones. Whenever the dapp can benefit from moving expensive computations off-chain, Aztec AA will provide a unique chance for an optimization. That is to say, on traditional chains users pay for each executed opcode, hence more complex operations (e.g. alternative signature verification) are quite expensive. In the case of Aztec, it can be moved off-chain so that it becomes almost free. The user pays for the operations in terms of client-side prover time.
For example:
However, one should note that if the verification logic depends on the public state and requires a public function call (e.g. checking the balance), this check will be executed by the sequencer and imply some limitations on the allowed complexity of verification logic. For those who prefer watching over reading, here is a talk, “Account Abstraction for a Private Network”, by Santiago Palladino (Palla).ConclusionAA is not a new topic, however, AA on private networks unlocks new capabilities for arbitrary verification logic, allowing for more complex logic as well as significant cost optimizations. Check documentation to dive into the details of Aztec’s AA. And if you are up to join Aztec’s building pioneers – express your interest in this form. Sources
Aztec Labs is committed to enabling developers to build with ZK and unlock the full potential of this transformative technology. To that end, we built Noir, an open source Domain Specific Language for safe and seamless construction of privacy-preserving ZK proofs. We fund tooling, libraries, and applications that make Noir more accessible and enjoyable for developers.
Earlier this year, the Ethereum Foundation announced the first ZK Grants Round, a cofunded proactive grants round to encourage research and development for Zero-Knowledge proofs and standards for ZK L2s. Aztec Labs contributed US$150,000 to the US$900,000 prize pool alongside other projects such as Polygon, Scroll, Taiko, and zkSync. We sponsored this initiativeas a part of our commitment to support builders who are advancing ZK across dimensions including research, performance, tooling, and applications.
We were thrilled to see submissions to the ZK Grants Round from both new and existing Noir contributors. In this post, we want to highlight the ZK Grants Wave awardees for the Noir ecosystem to showcase what the community is working on and provide inspiration for how you could contribute.
Team: @eryxcoop, @manastech
Noir is back-end agnostic and its Arithmetic Circuit Intermediate Representation (ACIR) can be integrated with different proving backends. This project will enable Noir users to prove and verify their programs with Plonky2 technology, unlocking more possibilities to develop blockchain and ZK infrastructure with Noir. Meanwhile, it will also allow Plonky2 users to benefit from Noir’s developer-friendly abstractions, tooling, and growing sets of libraries, lowering the barrier of entry to the proving technology.
Team: @schaliasosvons, @theosotir
Noir abstracts away underlying cryptography so it’s accessible to a broader developer base. However, one risk of these abstractions is unintentionally leaking private variable information. This tool will apply static analysis, taint tracking, input generation, and SMT solving to detect privacy leaks in Noir program designs. Noir users can leverage this easy to use framework and debugging tool to identify, analyze and amend such leakages in their projects.
Team: @wz__ht
Performance benchmarking varies across different languages and proving systems. This project aims to produce benchmarking suites, articles, and a website that compares and informs developers about characteristics, performance, and tradeoffs between Noir-compatible and other proving backends in the ZK ecosystem.
Team: @wz__ht
Noir reduces barriers for developers to use ZK with its simple and familiar Rust-like syntax. But a solid developer experience is more than just language design. It also depends on a strong ecosystem of developer tooling. This project will offer treesitter grammars that unlock features like syntax highlighting and code formatting for the language in more development environments like Helix and Neovim – providing Noir developers with more flexibility and choice.
Team: Neoxham, Lakonema2000, @0x18a6
Noir tooling and libraries are created to support and enable application developers who solve problems using ZK. This team will leverage Noir to create an educational end-to-end example of verifiable Know Your Customer (KYC) with compliance checks, and provide onboarding guides to increase adoption of the application.
We are grateful to the Ethereum Foundation for coordinating the ZK Grants Round and to the teams who submitted proposals. We look forward to seeing how the Noir community leverages these tools and resources to build the next wave of ZK powered applications.
If you’d like to learn more about Noir, read our docs and follow @NoirLang for more contribution opportunities coming soon.
