The Solana Privacy Ecosystem Landscape: A Complete Privacy Stack from Computation to AI
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The Solana Privacy Ecosystem Landscape: A Complete Privacy Stack from Computation to AI
Arcium, MagicBlock, Umbra, Darklake… A Comprehensive Overview of Solana’s Emerging Private DeFi and AI Ecosystem.
Navigating Web3 tides with focused insightsAuthor: Castle Labs
Translated by: AididiaoJP, Foresight News
Solana’s Privacy Ecosystem Is Still in Its Early Stages
We spoke with Helius CEO @mert about his views on privacy on Solana. In his own words, Solana is “a bit behind” on privacy.
So, what should a mature privacy ecosystem look like?
Essential components include:
- Formal verification
- No central committee
- Immutability
- Open-source code
Solana’s unique architecture also enables privacy priorities distinct from those of EVM chains. Mert specifically highlighted ZK compression: “We can achieve scale and composability for privacy protocols on Solana without persistent rollups—at least not when based rollups are available.”
In Solana’s specific context, the two most relevant verticals for privacy development are Neobanks and Private DeFi. Yet, in terms of tooling and user experience, Solana remains far from a fully functional, composable privacy ecosystem.
We also asked Mert about his perspective on the privacy tech stack. As emphasized in this report, privacy should not be viewed as a single technology, but rather as a “final privacy stack,” where all primitives ultimately work together. For Mert, the endgame will combine FHE (Fully Homomorphic Encryption) with ZK (Zero-Knowledge Proofs). TEEs and MPC are practical for certain use cases, but fail to provide sufficient guarantees in adversarial systems.
Finally, we asked him about Helius Privacy.
Helius Privacy will be developed as a ZK-based UTXO privacy layer on Solana. It will leverage “Zones,” enabling individual companies to make their own trade-offs.
It will also offer a public Zone for all general users, delivering full anonymity in an immutable, formally verified manner. More details will be announced soon.
Against this backdrop, this article focuses on how Solana’s privacy ecosystem addresses various privacy challenges.
Private Compute
Currently, two main providers dominate this space: @Arcium and @magicblock.
Both tackle similar problems—private computation.
Arcium handles arbitrary data via MPC (Multi-Party Computation). It splits data across independent node clusters, which jointly compute results without ever seeing individual inputs. Arcium operates as a standalone compute network, with final settlement occurring on Solana—handling task ordering, network security, and fee payments.
All such private computation occurs within Multi-Party eXecution Environments (MXEs)—customizable, parallelized execution environments.
Beyond solving computational challenges, Arcium’s product suite broadly supports Solana’s privacy ecosystem. They are building the Confidential SPL (C-SPL) token standard, enabling confidential tokens, transfers, and transactions on Solana.
We asked the Arcium team about demand sources. Unsurprisingly, primary demand comes from payments and crypto analytics; institutional demand is also growing—especially in healthcare—enabling model training on encrypted datasets. C-SPL also facilitates seamless private transfers, further attracting institutional interest.
On the data front, Arcium has processed over 900,000 computations and more than 3.5 million transactions since its Alpha mainnet launch in early February 2026, with most growth occurring since early May.
Most current demand stems from early-stage applications such as Umbra. Over the coming weeks, applications including ZINC and Crafts will go live, and we expect demand to rise further.
ZINC is implementing encrypted proof-of-work mining, while Crafts leverages Arcium for sealed-bid auctions to raise funds—allowing startups to tokenize equity at fair price discovery.
“Some exciting new things being built on Arcium include capital formation using sealed bids, opportunity markets, encrypted settlements in prediction markets, and other financial privacy applications.”
Many of these use cases are creating entirely new or improved markets where users may not even realize privacy is being provided.
Magic Block tackles private computation using TEEs (Trusted Execution Environments), whereas Arcium relies on cryptographic guarantees from MPC. Its product works by leveraging Intel TDX to create a hardware-verified black box—the Private Ephemeral Rollup (PER)—where transactions are aggregated and processed before being submitted back to Solana.
MagicBlock helps developers preserve these properties across the entire stack: confidentiality (protected state), scalability (high throughput), composability (interoperability with other Solana programs), and compliance (access-control layer).
Although their approaches differ, both enable deployable private order books, dark pools, and private DeFi rails—with minimal code changes required. This is already evident in the Arcium-powered ecosystem, spanning DeFi, prediction markets, Neobanks, and more.
Private Transfers and Balances
As privacy-compute infrastructure providers like Arcium and MagicBlock mature, use cases built atop them—including private transfers—are gaining traction.
@UmbraPrivacy was the first, built upon Arcium’s MPC infrastructure. Umbra introduces Encrypted Token Accounts (ETAs), direct counterparts to Solana’s standard Associated Token Accounts—but with balances stored encrypted, offering:
- Amount privacy: transaction amounts encrypted using Rescue cryptography
- Balance privacy: balances stored in ciphertext form
- Linkage privacy: complete on-chain disassociation between sender and receiver via shielded pools + ZK proofs
Additionally, Umbra provides compliance features, allowing users to grant auditors and compliance systems selective visibility—without exposing full transaction history. This is critical for institutional workflows and for users wishing to prove fund holdings without revealing detailed transaction histories.
In the privacy wallet space, @theprivacycash and Hush are two other notable players.
Privacy Cash uses a Tornado-style shielded pool for SOL: users deposit SOL to generate commitments and add them to a Merkle tree, then withdraw to any recipient using ZK proofs—fully severing on-chain linkage between deposit and withdrawal addresses.
Hush draws inspiration from Zcash but adds DeFi utility. Users deposit SOL into Hush’s shielded pool, automatically converting it to jitoSOL—earning staking rewards and MEV income privately. Within the pool, users can send/receive funds among other Hush participants and conduct multiple transactions without touching Solana’s public ledger. Withdrawals are mixed and decoupled from original deposits. In-pool transfers cost 0.01 jitoSOL; withdrawals incur a 50 bps fee. Hush also integrates Jupiter for private swaps and enforces geographic blocking for sanctioned regions—bolstering its compliance profile among institutional users.
No Onchain Trail
Private transfers solve the problem of companies and institutions making private on-chain payroll payments or conducting confidential transactions. But to go further, we need to embed privacy directly into everyday on-chain behavior—especially trading.
Every order placed on a public AMM is a signal readable—and exploitable—by frontrunners, copytraders, and MEV bots. Several protocols on Solana are already addressing this challenge.
@encifherio is a privacy-first DeFi interface that routes trades through Jupiter while keeping transaction details private. The team states: “Execution quality remains unchanged, as we do not introduce custom routing—we rely on Jupiter’s same routing logic and liquidity.”
It wraps the tokens users wish to swap and encrypts exchange details using ElGamal encryption. On-chain records only reflect state changes of wrapped asset types—sufficient for Jupiter to route correct tokens. Transaction counts, counterparties, participants, and even whether execution occurred are all processed inside a TEE environment (AWS Nitro Enclaves) and never publicly broadcast. This enables large-scale private swaps.
@VanishTrade takes a different architectural approach. It is building private trading infrastructure using shielded transaction routing to protect trading strategies from leaving on-chain traces. Unlike encifherio—which wraps tokens—Vanish shields liquidity routing. Additionally, Vanish has launched the Vanish Integrity Framework (VIF), backed by Elliptic and Range, embedding safeguards to prevent routing of illicit transactions.
Darklake is another competitor in this category, building ZK-native liquidity infrastructure and dark pools. Its zk-AMM—dubbed the “Blind Slippage Pool”—adds a commitment layer atop AMMs to hide slippage data prior to execution. Searchers cannot read order intent before transaction settlement—but can verify outcomes afterward. This temporal asymmetry prevents sandwich attacks while preserving verifiability. They’ve extended this model to private perpetual contracts (zk-Perps) using Arcium’s compute layer, and to an inference framework named Zyga, which abstracts away proof complexity—providing builders with secure logic and coordination foundations. Recently, they’ve expanded into an infrastructure protocol enabling apps and users to privately verify, connect, and compute using a “Proof as Intelligence” model.
Private Prediction Markets
Private prediction markets represent a more advanced privacy application, as users’ strategies are easily copied—eroding competitive advantage. To address this, protocols are leveraging Arcium’s infrastructure to build dedicated dark pools for prediction markets.
@meleemarkets is building a prediction market supporting private order flow. It encrypts the order book using Arcium’s MPC infrastructure. Participants can place orders without revealing directional exposure on public markets—until settlement.
The Private AI
As AI agents increasingly operate on-chain, will every query and every piece of PII they consume remain permanently public?
Loyal answers this question with its decentralized, censorship-resistant intelligent protocol. Built using Magic Block’s ephemeral rollup execution and Arcium’s encrypted computation, Loyal is constructing on-chain AI that protects user data—conversations, queries, preferences, and activity—all stored encrypted on Solana under strict access controls. Users own and can export their encrypted conversation history, and may self-host the frontend without losing any data. Moreover, Loyal supports private transactions and fund management, enabling depositors to earn yield privately.
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