The Privacy Layer for Verifiable Digital Activity

Transparency became surveillance. On a traditional public blockchain, a single transaction can expose:

• ▪Sender
• ▪Recipient
• ▪Amount
• ▪Transaction history
• ▪Token holdings
• ▪Contract interactions
• ▪Behavioral patterns
• ▪Relationships between wallets

Even when addresses are pseudonymous, repeated activity can create a detailed financial profile. A single address can become a permanent record of a user's onchain behavior. This creates three fundamental problems.

1.1 — Financial privacy

Users should not have to expose their entire financial history to make a single payment.

1.2 — Identity privacy

Proving that you meet a requirement should not require revealing your complete identity.

1.3 — Data minimization

Applications frequently request more information than they actually need.

ZeroKnow is based on three concepts.

ZeroKnow aims to become a general-purpose privacy layer for decentralized applications. Rather than creating another application-specific privacy solution, ZeroKnow provides infrastructure that developers can integrate into:

• ▪Payments
• ▪DeFi
• ▪Trading
• ▪Lending
• ▪Identity
• ▪Gaming
• ▪DAOs
• ▪Credentials
• ▪Token ecosystems
• ▪Private applications
• ▪Cross-chain activity

At a high level, ZeroKnow separates information from proof. A user possesses private information. For example: “I have at least $10,000 in assets.” Instead of publishing the wallet balance, the user generates a zero-knowledge proof. The network verifies that the statement is true — but does not need to learn the user's exact balance.

ZeroKnow introduces the concept of private state. Private state represents information that belongs to a user but does not need to become publicly observable. Examples include:

• ▪Asset ownership
• ▪Account balances
• ▪Credentials
• ▪Transaction history
• ▪Eligibility
• ▪Reputation
• ▪Trading activity
• ▪Membership
• ▪Personal attributes

Applications interact with proofs derived from this state rather than requiring the underlying information itself.

Consider a decentralized lending platform. A traditional application might require: “Show me your complete wallet history.” ZeroKnow allows the application to request: “Prove that you have sufficient collateral.”

The user generates a proof. The application receives the result — VALID — without necessarily receiving:

• ▪Full portfolio
• ▪Other wallet addresses
• ▪Complete transaction history
• ▪Exact asset distribution

This changes the relationship between users and applications. Applications request claims, rather than complete datasets.

ZeroKnow can extend the same philosophy to financial transactions. A private transaction can allow the network to verify:

• ▪The sender is authorized
• ▪The sender possesses sufficient funds
• ▪The transaction follows protocol rules
• ▪The funds are valid
• ▪The transaction has not already been spent

…without making every transaction detail publicly readable.

Privacy does not mean that information can never be revealed. ZeroKnow supports a more flexible model:

Public

Information intentionally disclosed to everyone.

Private

Information known only to the user.

Selectively disclosed

Information revealed only to a specific party when required.

For example, a user could prove “I am over 18” without revealing their name, date of birth, address, or identification number. This creates a privacy-preserving identity model.

A user could maintain private credentials and generate proofs for specific claims:

• ▪Prove you are a resident of a country.
• ▪Prove you meet an age requirement.
• ▪Prove you are an approved member.
• ▪Prove you have sufficient assets.
• ▪Prove you have completed a qualification.

The verifier receives the answer without necessarily receiving the underlying personal data.

ZeroKnow is not intended to be just another private wallet. The protocol is designed as infrastructure. Applications can build privacy-preserving experiences on top of ZeroKnow.

The conceptual ZeroKnow architecture consists of several layers.

Developers should not need to become cryptographers to integrate privacy. ZeroKnow can provide an SDK that abstracts the underlying cryptography. A developer could conceptually request:

prove(
  condition = "balance >= $10,000",
  reveal    = false
)

The protocol handles:

1. 1.Private data access
2. 2.Witness generation
3. 3.Proof generation
4. 4.Verification
5. 5.Application response

The developer receives a simple result — VALID — without needing access to the underlying private information.

Public reputation systems often create permanent behavioral profiles. ZeroKnow introduces another possibility.

The application does not necessarily need to know how the score was achieved. This creates portable reputation without permanent surveillance.

The protocol can use a native token, $ZK, to coordinate the network. Potential functions include:

• ▪Network fees
• ▪Proof generation
• ▪Verification services
• ▪Prover incentives
• ▪Validator incentives
• ▪Governance
• ▪Privacy infrastructure payments

The token's final utility and economic design should depend on the protocol architecture and network requirements.

Generating zero-knowledge proofs can require significant computational resources. ZeroKnow can support a decentralized prover ecosystem.

Users

Submit proof requests.

Provers

Provide computation.

Network

Verifies the resulting proofs.

Provers

Receive compensation for successfully completing work.

This creates an open market for zero-knowledge computation.

ZeroKnow's security depends on the underlying cryptographic primitives, circuit design, implementation, key management, and protocol assumptions. The protocol should prioritize:

• ▪Auditable cryptography
• ▪Open-source implementations
• ▪Reproducible builds
• ▪Independent security reviews
• ▪Formal verification where appropriate
• ▪Transparent cryptographic assumptions
• ▪Robust key management

Privacy

Information is not unnecessarily exposed.

Anonymity

An individual's identity cannot be associated with activity.

Some ZeroKnow applications may provide strong anonymity properties. Others may simply minimize information disclosure. This distinction allows ZeroKnow to serve both decentralized and regulated environments where selective disclosure may be necessary.

Privacy and compliance do not necessarily need to be opposites. A traditional compliance system might require a company to collect and store large amounts of user information. ZeroKnow can instead allow users to prove specific requirements.

For example: “This user passed the required verification” — without exposing every piece of information used during verification.

ZeroKnow follows five principles.