Aztec Network
Mar 25th, 2022
## min read

Privacy for Pennies: Scaling Aztec’s zkRollup

Learn how how Aztec's ZkRollup achieves scalable blockchain privacy at a minimal cost, enhancing both efficiency and security.

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Written by
Jon Wu
Edited by

The economics of our privacy-first Ethereum rollup.

Our goal at Aztec is to make privacy a no-brainer. That’s why our rollup is designed to give you fully private Ethereum transactions at dramatically lower cost than mainnet.

We consider privacy a critical missing component of Ethereum’s scalability roadmap, given that its user functionality is non-economic in nature.

But privacy must also be affordable, and in order to understand how we’ll get to privacy for cheap, we need to do a deeper study of rollup economics.

Background on Ethereum scaling

You might already be familiar with the difference between the two consensus Ethereum scaling solutions: Optimistic Rollups (ORUs) and zkRollups (ZKRs). I’ll let Vitalik explain here.

But in case you want my take, here’s the basic trade-off between Optimistic Rollups and zkRollups:

Optimistic

Optimistic rollup block producers post an Ethereum transaction containing a state root. The ecosystem “optimistically” takes the state of the system to be valid.

During a 7 day challenge period, anyone can prove the invalidity of the state transition by downloading the block of transactions and comparing the previous Merkle root state to the new Merkle root state.

If there is an invalid state transition, they can submit a fraud proof, causing the block producer to be slashed and the blockchain state to be rolled back to its original state.

Note that the cost of executing transactions with an optimistic rollup is very close to free, since it’s essentially the cost of computation as done by a single sequencer (just like, a computer somewhere). However, there is still a variable cost of posting data to Ethereum.

Zero-knowledge

In a zero-knowledge rollup, the rollup incurs a significant fixed cost. Rather than passively awaiting fraud proofs, ZKRs proactively post a succinct zero knowledge proof to Ethereum Layer 1 validating a set of off-chain computations (a “validity proof”).

While the security of off-chain transactions in a zkRollup is unimpeachable due to the deterministic nature of zero knowledge proofs, there must be sufficiently high transaction throughput to amortize the cost of posting the proof to Ethereum.

Tl;dr:

  • Optimistic: no fixed costs, finality delayed by 7 day challenge & withdrawal period; in case of fraud, blockchain state gets rolled back
  • zk: high fixed costs, finality limited by speed of rollup, no challenge or withdrawal period, no possible fraud (caveat: as long as the cryptography works as intended)

Simple rollup math

Aztec, of course is a zero-knowledge rollup. (In fact, it’s a recursive zk-rollup–a zk-zk-rollup, but we’ll get to that).

That means it does incur the fixed cost of posting a SNARK-based proof to Ethereum. But it also means it’s highly scalable.

Scalability

What do we mean by scalability? In a blockchain context, scalability means the marginal cost of transactions goes down with each incremental transaction. The faster the marginal cost falls, the more scalable something is.

In terms of cost, optimistic rollups have no fixed expense, but over a large enough number of transactions, zkRollups quickly overcome their fixed cost disadvantage and win over optimistic roll-ups with superior data compression.

So: zkRollups are more scalable.

Now, if you think about most Layer 1’s, including Ethereum, they’re anti-scalable. The more transactions go through Ethereum, the higher the cost of each marginal transaction.

zkRollups for kids

Here’s a school child’s diagram of the scalability equation for Aztec and other zkRollups:

Must be a really good school if this is what they’re teaching ‘em.

Hopefully this gives you a picture of how Aztec’s path to scaling our own rollup:

  • Reduce the cost of posting a rollup (we control this)
  • Increase the number of transactions per rollup (we mostly control this)
  • Lower the per-transaction cost of posting call data (we don’t control this for Ethereum, but we can select a lower-cost data availability solution)

Let’s tackle these one by one, compare the current system relative to performance a year ago, and discuss what they mean for future network performance.

Cost of posting rollups

In Aztec’s current technological paradigm, an improvement of our proving system called UltraPlonk, the cost of posting a proof to Ethereum is approximately 550,000 gas, ~30% cheaper than it was when zk.money was first launched.

We anticipate this coming down to ~180,000 gas with the advent of our next-generation proving system, [super secret code name redacted].

Transactions per rollup

Our current system was recently upgraded from 112 transactions per rollup at zk.money’s launch to 896 transactions per rollup, an improvement in throughput of 8x.

The way Aztec worked under the hood prior to this most recent upgrade is:

  • A proof is generated client-side in-browser
  • 28 client proofs are then aggregated into an “inner” rollup proof
  • 4 inner rollup proofs are then aggregated into an “outer” rollup proof

That “outer” rollup proof is then verified in what we call the root rollup circuit — the circuit that establishes the validity of all the underlying work that goes into ensuring execution on Aztec happened as expected. Then that final proof gets posted on-chain for posterity.

It’s proofs on proofs on proofs.

For the release of Aztec Connect SDK, we’ve increased the outer rollup’s capacity to 32 inner proofs by optimizing the outer rollup circuit. 28 * 32 = 896. Magic.

That’s why we go through all this headache, writing circuits that can efficiently verify recursive Plonk proofs.

If you’re following so far, the share of rollup costs per transaction fell from:

  • 750k / 112 = 6,700 gas; to
  • 550k / 896 = 614 gas → an 11x improvement!

We think that’s well worth inventing novel forms of cryptography.

Per-txn cost of call data

In addition to the proof, which validates Aztec’s off-chain transactions, Aztec also has to post call data¹ for each transaction, such that anyone can reconstruct the state of Aztec’s rollup and prove the validity of off-chain computation.

Currently, the cost of posting call data to Ethereum is 16 gas per byte. Vitalik has submitted EIP-4488 lowering the cost of call data to 3 gas per byte, while there’s another proposal, confusingly named EIP-4844, which offers a new data format specifically designed to lower the cost to rollups of posting data on Ethereum.

Aztec broadly supports efforts to reduce the cost of data on Ethereum, and we’ll discuss the minutiae of the two EIPs in a separate post.

For now, it’s true for our architecture that scaling costs beyond a few hundred transactions asymptotically approach the cost of call data:

aditi on Twitter: "the result is that even in the case of end users leveraging rollups, posting call data to Eth beholds them to the gas costs they face today as a result of this fixed ratio. modeled below, you'll see that cost will always hit a rough asymptote b/c of fixed call data cost pic.twitter.com/uq9cTYARC4 / Twitter"

the result is that even in the case of end users leveraging rollups, posting call data to Eth beholds them to the gas costs they face today as a result of this fixed ratio.

Note that the chain on which Aztec posts call data is critical for security, because data availability is of chief concern in case Aztec’s rollup provider ceases to function and system state needs to be reconstructed once the provider comes back online.

Note that while a rollup provider going down can only freeze users’ funds in place, with no ability to steal funds, recomputing blockchain state can only happen if state is available (hence data availability).

That’s why for the foreseeable future, we intend to post the rollup’s state to Ethereum–it is for now the Lindy-est, most secure chain with consistent and proven uptime. We’re also excited about exploring our own first-party offchain data availability solution and 3rd-party chains like Celestia.

For now, an Aztec transaction requires the storage of a number of items on-chain:

  • Transaction viewing keys (8,480 gas)²
  • Join-split call data (2,064 gas)³
  • For DeFi transactions, call data for deposit and claim (2,064 * 2)⁴
  • Total: 14,672 gas

Recap & what the future holds

Aztec’s zkRollup has scaled efficiently since the launch of zk.money on mainnet. The impending launch of the Aztec Connect SDK brings up to 100x cost savings for Ethereum DeFi services, all while offering full privacy.

The cost of a private transaction on Aztec will always be cheaper than the cost of a public transaction on Ethereum, despite the added complexity of encrypted transactions — you always get privacy for free (or better than free).

The one elephant in the room is data cost on Ethereum. Call data represents the vast majority (88.8%) of the gas cost for a DeFi transaction. And over time, as proof verification costs fall and the rollup scales further, call data will represent nearly 100% of transaction costs.

At that point, scaling Aztec will also mean optimizing Ethereum.

Next time we’ll cover:

  • Our initiatives to reduce these costs, including taking viewing keys off-chain and pushing for EIP’s reducing the cost of call data on Ethereum
  • How Aztec Connect SDK adds just a little more math to the above

Build with Aztec Connect SDK

Are you a developer who wants to bring privacy to your favorite DeFi protocol? If you build it, we’ll fund it.

Aztec Grants Program: https://airtable.com/shrvglCZ24jaH73oe

Connect Starter: https://github.com/AztecProtocol/aztec-connect-starter.

Help make privacy a no-brainer.

Join the Aztec Community

We’re always on the lookout for talented engineers and applied cryptographers. If joining our mission to bring scalable privacy to Ethereum excites you — check out our open roles.

And continue the conversation with us on Discord or Twitter.

  1. Call data is currently the cheapest form of data storage on Ethereum. It’s a special form of memory used to store function parameters (hence “call” data, because it’s used to call external functions).
  2. Viewing keys are required to view encrypted transactions and read the details of a transaction. Unlike state, they’re not critical for system liveness.
  3. The join-split circuit is a simple formula that ensures Aztec encrypted notes are added (joined) and divided (split) correctly. It follows the simple equivalence (a + b) = (c + d).
  4. The DeFi circuit ensures assets are correctly delivered to the Aztec Rollup (deposited) and returned from the Aztec Rollup (withdrawn).

Privacy for Pennies: Scaling Aztec’s zkRollup was originally published in Aztec on Medium, where people are continuing the conversation by highlighting and responding to this story

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Aztec Network
Aztec Network
7 Aug
xx min read

Alpha V5 Proving System Vulnerability

Status

Core contributors identified a critical vulnerability affecting the V5 Alpha proving system on 27 July 2026 through internal AI-assisted auditing.

V5 remains Alpha software. Critical findings can arise during this phase, and the audit process exists to identify them before broader deployment. This finding places V5 funds, applications, and contract state at risk.

Treat funds and applications on V5 as exposed to a protocol-level failure until contributors complete incident response work and operators carry out the required network actions.

What we are disclosing

An attacker may be able to exploit a flaw in the current V5 proving system by constructing a proof that passes verification for a transaction the network should reject. If accepted, that transaction could produce a state transition outside the rules V5 intends to enforce.

Contributors cannot determine whether anyone exploited the flaw before this finding. The affected system lacks the information needed to distinguish ordinary accepted transactions from transactions accepted through the flawed proving path. Historical chain activity cannot establish whether exploitation occurred or quantify its impact.

Application safeguards

We expect application teams to prepare safeguards in the coming weeks.

Those safeguards may include changes to application controls, deployment procedures, user flows, and migration plans. We expect each team to assess its contracts and determine which protections fit its architecture and users.

We expect teams planning a V5 deployment to pause that work until contributors publish further guidance. We expect teams with live contracts to review their ability to limit user exposure, isolate affected functionality, and move users to fresh deployments if needed.

We expect applications that maintain administrative or emergency controls to assess whether those controls can reduce user risk during the incident timeframe.

Next steps

Core contributors are working with operators, application teams, and bridge operators as applications add security guards around affected flows.

The findings from this incident will inform the V6 release, including circuit updates that prevent the network from accepting proofs tied to an affected proving system.

V5 launched as Alpha software, with V6 planned for later in 2026. Contributors will publish a security roadmap covering the remaining work and release path.

Known vulnerability status

Reviewers have not identified other high-severity or critical V5 Alpha vulnerabilities at this time.

Internal and external human audits have completed, and contributors continue AI-assisted auditing. Alpha is the period for identifying faults before production deployment.

Community
Community
4 Aug
xx min read

Dark Forest Aztec Game Goes Live

Dark Forest is a real-time strategy game played across a procedurally generated universe where most of the map is hidden. You cannot see rival players, their planets, or their fleets. You only know what you have explored. Everyone shares one universe, and nobody has the full picture.

In most onchain games, every position and every move is public, because the chain is public. Dark Forest used zero-knowledge proofs to break that assumption: players prove their moves are valid without revealing where those moves came from. The result is a game of hidden information running on a public network.

Dark Forest Aztec ports the original Dark Forest 0.6 to Aztec. It keeps the gameplay from the original and rebuilds the privacy layer on Aztec's programmable privacy.

A note before diving in: this is early, experimental software on Aztec Alpha V5. Treat it as an alpha and play accordingly.

The universe you cannot see

You start on a single home planet with almost the entire map dark. To find anything you mine the universe, running a client that explores coordinates and reveals what sits there: unclaimed planets, resources, and eventually the edges of other players' territory.

You are never handed a view of the board. You earn it one region at a time, and everyone else works under the same fog.

What is hidden on Aztec

Your home coordinates and your fleet movements are private state, expressed as first-class private notes on Aztec. Your location and where you send energy stay hidden, enforced in the contracts by zero-knowledge cryptography.

What sits onchain is a set of cryptographic commitments. Instead of storing every planet's full details in the open, the contracts store Poseidon2 hashes of entity state. When you make a move, your client supplies the full state, the contract checks it against the stored hash, applies the change under zero-knowledge constraints, and writes a new hash back. Full game state lives offchain and gets rebuilt from public logs by an indexer, which is what renders your map without exposing every player's position.

So you can prove you made a legal move from a planet you own without revealing where that planet is. Aztec applies the same principle to private payments and private contracts.

How you play

Four actions carry the game.

Explore. Your explorer sits in the bottom left. Set it running and it uncovers the map around you, surfacing planets, resources, and other players.

Send energy. Most planets produce energy. Click and drag from a planet you own toward a target to capture or weaken it.

Route silver. Asteroid fields produce silver. Move it to your planets and spend it on upgrades, or send it to a Spacetime Rip to convert it into score.

Hunt artifacts. Some planets hold artifacts. Your Gear ship discovers them. Once harvested, you deposit them on planets to boost stats.

Four stats drive most decisions.

Energy is the core resource. Planets generate it over time up to a capacity, and you spend it on everything: claiming planets, reinforcing your own, attacking rivals. Two details matter. Moves are taxed, so a flat percentage of a planet's total capacity burns every time you send energy, which discourages small frequent moves. And energy decays over distance, so send it too far and almost nothing arrives. A common rule of thumb is to let a planet fill to about 75%, then send it down to about 25%.

Defense reduces the damage incoming energy does when it lands. Higher-level planets often have lower defense, but they hold much more energy, so they still take more to capture. Defense matters most on front lines.

Range sets how far a planet can send energy. It governs how fast you expand and how efficiently you move energy inside your own empire, since shorter relative distances mean less decay. Good range also lets you strike deep into an opponent's territory.

Speed sets how quickly a move arrives. Usually secondary, though a fast strike can land before a rival reacts, and some playstyles reward capturing many nearby planets quickly.

Planets can also be upgraded with silver and enhanced with artifacts. Space types carry different multipliers, from mild Nebula to punishing Dead Space, so where a planet sits changes how it plays.

How scoring works

There is a scoreboard, and territory alone does not win it. This round scores two activities: discovering artifacts with your Gear ship, and withdrawing silver through Spacetime Rips.

Point values from the in-game help page:

  • Each unit of silver withdrawn: 1
  • Common artifact: 2,000
  • Rare: 10,000
  • Epic: 200,000
  • Legendary: 3,000,000
  • Mythic: 20,000,000

Silver accrues one point at a time. A single Mythic artifact is worth twenty million of them, so artifact hunting decides rounds and silver withdrawal sets your floor.

Silver has two competing uses. Spend it on upgrades and your planets get stronger, extending range and hardening defense. Withdraw it through a Spacetime Rip and it becomes scored points, but it is gone. Every unit is a choice between building the empire and banking points.

Upgrades tend to win early, since a stronger empire reaches more asteroid fields and finds more artifacts. Late in a round that calculation flips, because a planet you never use is worth less than points already scored.

Artifacts do both jobs at once. They score on discovery, and once deposited they boost a planet's stats, which makes the next expedition easier.

Why you explore

Nothing happens until you find something to act on. Your explorer turns dark space into planets you can capture, asteroid fields you can mine, and artifact-bearing planets you can raid. Sitting still means no new energy, no silver, no score.

Exploring also buys information. The map you have uncovered is an advantage nobody else holds. Knowing where high-level planets sit, which asteroid fields are unclaimed, and where space types shift lets you plan further ahead than someone still working through their starting region.

You find other players as a byproduct. There is no player list. You explore outward until your revealed region touches territory someone already owns: a planet in another player's colors, sitting where you were about to expand. Their home coordinates stay private, so you learn something narrow. Someone is here, roughly this direction, holding this much. You infer the rest, and you have no way of knowing whether they found you first.

What happens when you run into someone

You have three broad options.

Stay quiet and keep growing. Nothing forces you to engage. Keep exploring elsewhere, keep routing silver, keep upgrading. Your positions stay private, so silence costs you only time, which is what you want if they are stronger. The risk is that they are doing the same thing faster.

Fortify the border. If the contact sits somewhere you cannot lose, spend energy hardening the planets facing them. Defense is worth most where an attack will actually land. This keeps the option to fight without committing to one.

Attack. Send enough energy to overwhelm the target's defense and the planet becomes yours, along with its production and its position as a staging post. Higher-level planets are the prize and take proportionally more to crack.

Attacking costs more than energy. A move that lands tells your rival where you strike from, and that you are close enough to be worth answering. Retaliation can then come from directions you have not explored, launched from planets you cannot see.

Multiplayer in practice

Everyone plays one shared universe in real time. No turns, no lobbies. Energy regenerates whether you are watching or not, moves stay in flight while you sleep, and rivals expand while you are away from the screen.

Most strategy games let you watch a threat approach. Here you tend to see the consequences: a planet you owned this morning in someone else's colors, an incoming move you notice once it is already close.

That produces a particular kind of paranoia. You are trying to find everyone else while avoiding being found, and every expansion is a strategic bet that the space ahead is empty.

Information becomes tradeable, because it is scarce. Players compare notes, warn each other about aggressive neighbors, and agree who expands where, then break those agreements when the scoreboard makes it worth breaking.

Why it matters beyond the game

A fully onchain game where players cannot see each other's positions is hard to build, and building it well says something about the platform underneath.

Hidden state, private notes, and client-side proving are the same building blocks behind private applications across Aztec. Dark Forest is a way to watch them work.

Getting started

Dark Forest Aztec is playable now as an alpha. Expect a learning curve; the original was famous for it. DFArchon maintains onboarding material and a community for new players. Round One is live. The universe is dark, and everyone else is out there somewhere. Go find them, quietly.

Play Now

Follow the Builders

DFArchon on X

Source and docs

Aztec Network
Aztec Network
22 Jul
xx min read

How Gas Works on Aztec

Gas on Aztec

Gas on Aztec is known as Fee Juice and is used to pay for transaction costs. This is the same as $ETH on Ethereum. Some apps will handle transaction costs for you under the hood, but if you are using a browser extension wallet, you will not be able to send transactions without it. Fee Juice can be obtained by bridging the $AZTEC token on Ethereum to the Aztec Network L2. This means that under the hood, all activity that happens on Aztec is underpinned by the $AZTEC token bridged into the network. Some bridges like Shield (by human.tech) handle this for you, allowing you to allocate a portion of your bridged transaction to convert into Fee Juice and land in your wallet automatically.

Public vs Private Assets

Assets and transactions on the Aztec Network can be either public or private. If you bridge publicly, your tokens will arrive as public, traceable tokens visible to all. Privately bridging, on the other hand, will give you private assets that are visible only to you. These assets can then be sent privately to another user or wallet without ever revealing who you are, what tokens were sent, how many, or who the recipient is.

Public vs Private Gas

Like tokens on the Aztec Network, Fee Juice (gas) can also be public or private. The reason for this is that even if what you are sending is private, the gas you spend to execute that transaction could still be visible if you are using public Fee Juice, potentially revealing transaction patterns and activity. Private Fee Juice keeps your entire transaction footprint hidden. When you send a private transaction, you can use private Fee Juice, and when you send a public transaction, you can use public Fee Juice, which means your transaction costs are always aligned with the type of transaction you're making.

Fee Juice in Apps

Aztec has native fee abstraction, which means apps could let you pay for transactions in any token you want, or cover your fees entirely. Apps like Nyx may choose to cover part or all of a user's transaction costs, or allow you to pay in tokens that are convenient for you. This means you will most likely never see Fee Juice in an app; instead, you'll pay in whatever makes sense for what you're doing, on your terms. Similarly, you might never even see an Aztec wallet at all, because the app itself becomes your interface that you connect to using your MetaMask wallet.

Fee Juice in Browser Wallets

If you're using a browser extension like Azguard, you'll manage Fee Juice directly in your wallet alongside your private and public balances, converting between tokens as needed to cover transaction costs.

When you bridge tokens in, you'll need enough Fee Juice to cover the cost of your first transaction, then you'll need to monitor how much Fee Juice you have available to make transactions. Browser wallets will allow you to send either publicly or privately to other users and will default to using either public or private Fee Juice depending on the type of transaction. Both private Fee Juice and public Fee Juice will appear by default in your token list.

Wrapping up

How you handle Fee Juice depends on where you're transacting: apps can abstract it away entirely and let you pay in any token, while a browser wallet like Azguard puts it in your hands to manage across public and private balances. Match your gas to your transaction, keep private activity private down to the fee, and you move on your terms.

Aztec Network
Aztec Network
21 Jul
xx min read

Introducing Alpha V5

The Aztec Network today activated Alpha V5, a major protocol upgrade passed by token-holder governance and executed onchain. Alpha V5 reduces private-transaction proving times by more than 2x compared to the previous version, lowers the cost of a fully private transaction by roughly 50%, resolves the critical issues found in V4, and sees the first wave of apps go live. Users can now send private transactions and earn yield on Aave simply by connecting their Ethereum wallets on Nyx, bridge from Ethereum to Aztec using Shield or TRAIN, privately collect NFTs on RavenHouse, or play Dark Forest Aztec, a hidden-information strategy game in a universe that lives entirely onchain. 

"Alpha V5 continues Aztec's work at the frontier of client-side proving, with cryptographic breakthroughs that cut proving times by more than half this release," said Zac Williamson, Co-founder, Aztec Foundation. "We believe Aztec is now the fastest system in the world for proving a fully private transaction entirely on a user's own device, and every release moves the industry closer to private transactions at public transaction speeds."

As the only decentralized privacy L2, Aztec is the credibly neutral privacy layer for Ethereum. Aztec allows anyone to write smart contracts that include both private and public aspects – every private transaction is proven on the user's own device, so no operator, sequencer, or intermediary can see the data. The Alpha V5 proving improvements come from cryptographic advances that make this client-side proving faster than any prior release. The network remains in alpha, but with V5 it is ready for teams to begin building and deploying applications.

Performance - 2.5 second fully private transactions 

Making private transactions practical comes down to how quickly a proof can be generated on a user's own device, without offloading that work to a server that would learn what the user is doing. On Alpha V5, proving a private token transfer natively now takes approximately 2.5 seconds on a consumer laptop, down from 5.2 seconds on V4, and about 6.8 seconds in a browser, down from 12.5 seconds. Across every measured transaction flow, client-side proving times improved by approximately 2x compared with V4.

Bench machine: an M2 MacBook (12 cores, throttled to 8). "Native" runs Aztec's C++ proving binary; "WASM" runs the same prover in a browser engine (Node on V8).

Alpha V5 lowers ECDSA signature-verification cost by approximately 2x, speeds up Poseidon2 hashing by approximately 3x, and reduces the protocol circuit gate count by approximately 50% (gate count is the number of individual operations a proving circuit must perform, and it is the main driver of how long a proof takes to generate). Each of these lowers the amount of work a device performs to prove a transaction, and the reduction in gate count in particular compounds across every proof the network generates.

Apps - send, receive, and earn privately on Ethereum

Alpha V5 launches the first wave of apps on a network where privacy is built into the protocol rather than managed by an operator. On other networks that claim privacy, transactions still pass through an operator or node that reads them in plaintext, or depend on a viewing key that a third party holds, so users rely on someone else to protect their data and to decide when it gets disclosed. On Aztec, every private transaction is proven on the user's own device, so the app, the sequencer, and any operator never need to see the underlying data. Nyx is one of these apps, allowing users to privately send transactions and privately earn yield on Aave. 

"On Ethereum, everything you do is public. That's why we built Nyx: a private account governed by your Ethereum wallet", said Nikhil, Co-founder of Nyx. "Now you can send, receive and earn in private. Nyx was the first app live on the Aztec Alpha, and we're excited to expand participation to more users with the added stability of Alpha V5."

Other apps on Alpha V5 include Azguard and Nethermind (wallets), Shield, TRAIN, and RavenHouse (bridges), and the Aztecscan block explorers. Also launching is Dark Forest Aztec, a game where users explore a universe, control planets, manage planetary energy, expand territory, and launch attacks through strategic play with private state and hidden actions.

Dark Forest Aztec private universe-building gameplay

Lower costs, higher security 

Transaction fees on Aztec come from two main sources: the cost of proving a transaction and the cost of verifying the rollup proof on Ethereum. Alpha V5 reduces both. It lowers the network's proving-cost parameter by 50%, and it reduces the L1 gas required to verify a rollup proof by approximately 40%. Because rollup proofs are verified on Ethereum and that cost is shared across all transactions in a batch, the L1 reduction lowers fees for every user, while the lower proving-cost parameter reduces the per-transaction proving fee directly. Together, these bring the average cost of a fully private token transfer to under a $0.05 transaction cost.

Alpha V5 also hardens the network on several fronts. It resolves critical vulnerabilities found in Alpha V4 along with additional bugs discovered since launch. Aztec's bug bounty program on Cantina also drew more than 234 security researchers to participate. The network remains in alpha, and further bugs may surface as usage grows, but each release has closed the issues found in the last and strengthened the protocol against new ones. With the critical V4 issues resolved and these safeguards in place, Alpha V5 is stable enough for teams to begin building and deploying applications.

Availability

Alpha V5 is live now, view the Alpha V5 landing page for a full list of features, performance updates, and live apps to explore. 

About Aztec

Aztec is the only decentralized, privacy-first Layer 2 on Ethereum. Developers write private and public logic in the same smart contract, and private functions are executed and proven on the user's own device, so no operator sees the underlying data. The protocol is upgraded through onchain governance, and the network settles to Ethereum. For more information, visit aztec.network.