privacy

Public blockchains were sold as transparent. In 2026, transparency has a new enemy: cheap, tireless AI that can connect the dots. Grayscale Research's Michael Zhao used CoinDesk's Crypto Long and Short column this week to argue that this changes the case for Zcash, and the numbers he cites are worth a close look.
📌 The argument
Zhao's point is simple. Every transaction on a public chain is permanent, and AI now makes it cheap to link wallets to exchange accounts, data leaks, social media posts and timing patterns. A payment that looked anonymous in 2019 can be unmasked in 2026 without anyone breaking the cryptography. Grayscale calls this a third wave of financial privacy concern, after the 1970s and the 1990s, and says privacy has to be built into a network from the start because a public ledger cannot be made private later.
📊 The numbers
• About 4.9 million $ZEC sit in the shielded pool, close to 29% of all ZEC ever mined, per Grayscale.
• Shielded transactions grew sharply over the past two years while transparent ones stayed flat.
• ZEC rose roughly 2,300% between September 2025 and September 2026, per the column.
• Grayscale's spot Zcash fund, listed on the NYSE in August, gathered nearly $1 billion in just over a month. It is not registered under the Investment Company Act of 1940, and its prospectus says an investment in the fund is not a direct investment in ZEC.
• Today the price is near $1,236, down about 6.6% on the day and 13.9% on the week, per CoinGecko, about 61% below its record.
🔍 How shielding works
Zcash launched in 2016 from Bitcoin's code and keeps the 21 million coin limit. A shielded transaction lets the network verify a payment without revealing sender, receiver or amount. Viewing keys let a user share selected details with a regulator or a business partner without giving up control of funds. Businesses have a plain reason to want this: payroll and supplier lists are not things you publish for competitors. Zhao also notes that privacy strengthens with use, since each shielded transaction makes every individual harder to single out.
⚖️ Bull vs bear case
• Bull: AI surveillance makes privacy a feature people will pay for, the shielded share keeps rising, and the ETF gives traditional investors a wrapper.
• Bear: AML rules and MiCA are moving toward automatic reporting, which may collide with selective disclosure, and a 14% weekly drop after a 2,300% year shows how much of the move was speculative.
• Neutral: the Ironwood upgrade shipped in July 2026, so the technical roadmap is progressing whatever the price does.
👀 What to watch next
• The shielded pool share; a move well above 29% would confirm the usage story.
• Flows into the Grayscale fund now that the price has cooled.
• Any regulatory statement in Europe or the US that specifically addresses selective-disclosure coins.
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💡 My take: Zhao's strongest point is not about Zcash at all, it is that "public by default" ages badly in a world of AI. Whether ZEC captures that demand depends on regulators as much as on code, and this week's price action says the market has not decided.
💬 Is on-chain privacy a right, a feature, or a regulatory problem waiting to happen?
#Zcash #Privacy #AI

Blockchain gives financial institutions something they badly need: verifiable settlement without relying entirely on a closed database.
But there is an obvious problem.
Banks cannot simply put every transaction detail on a public blockchain.
Balances, counterparties, transaction amounts and other sensitive information may need to remain private - while regulators, counterparties and the network still need enough evidence to verify that something actually happened.
So how can you get privacy + verifiability at the same time?
This is where the architecture behind Rayls becomes interesting.
Start with a private transaction
Imagine a financial institution needs to transfer a tokenised asset internally.
The transaction needs to execute in a controlled environment where sensitive financial information isn't exposed publicly.
This is where the idea of a private execution environment becomes important.
Instead of starting with a public blockchain and trying to hide information afterwards, the transaction can begin inside an environment designed for privacy.
The transaction is executed privately
In the Rayls architecture, private institutional activity can happen within the Sovereign environment.
The transaction logic and relevant state can remain within that private environment while authorised participants interact with it.
The important part is that privacy is part of the execution model itself.
This creates the first separation:
Private execution does not automatically mean isolated from everything else.
The interesting question is what happens when that transaction needs to interact with a wider settlement environment.
You don't need to reveal everything to prove something
This is where zero-knowledge technology becomes interesting.
Instead of publishing all the underlying transaction information, a system can produce cryptographic evidence that a particular statement is valid.
In simple terms:
You can prove that something is correct without revealing everything that made it correct.
For institutional infrastructure, this distinction is important.
The verifier doesn't necessarily need to see the complete private transaction. It may only need enough cryptographic evidence to verify the required condition.
Where do Pedersen commitments fit?
A commitment can be thought of as a cryptographic way of locking information into a verifiable representation without immediately revealing the underlying value.
Pedersen commitments are one of the cryptographic building blocks that can be used in privacy-preserving systems.
They allow a value to be committed while maintaining mathematical properties that can later support verification and proofs.
The commitment itself isn't the complete privacy system.
It's one component that can help build a system where information can remain hidden while certain properties about that information can still be proven.
Generating the zero-knowledge proof
Once the relevant private information and conditions are established, a zero-knowledge proof can be generated.
The proof provides evidence that the required computation or condition was satisfied.
The verifier can then verify the proof without necessarily receiving the original private data.
That's the important distinction:
The data can remain private while the validity of a computation becomes verifiable.
This is one of the reasons zero-knowledge systems are interesting for financial infrastructure.
Proof and encryption are not the same thing
This distinction is easy to miss.
Encryption protects information by making the underlying data unreadable without the appropriate key.
A zero-knowledge proof provides evidence that a statement is true without requiring the verifier to see the underlying secret information.
A commitment allows information to be cryptographically bound without immediately revealing the information itself.
They solve different problems.
And in a privacy-preserving financial system, these different cryptographic mechanisms can work together
So how does the transaction move outside the Sovereign?
A private transaction eventually may need to interact with other parts of the network.
This is where the architecture becomes interesting.
The goal isn't to expose the complete private transaction.
Instead, the relevant information needed for interoperability or settlement can move through the appropriate infrastructure.
In the Rayls architecture, this can involve the private environment interacting through Relayers toward the relevant settlement layer.
The important idea is:
The transaction can interact with a broader network without making all of its private data public.
Where does the transaction actually settle?
This depends on what the transaction needs to accomplish.
Private institutional activity can remain within private environments, while interactions that require broader network settlement can connect toward the Rayls Public Chain.
That separation is useful because not every piece of institutional activity needs to exist publicly.
A private transaction doesn't become public simply because it eventually needs to interact with a broader settlement layer.
What does the settlement layer actually know?
This is one of the most interesting parts.
A settlement layer can verify the information it needs without necessarily receiving every detail of the original private transaction.
That creates an important distinction:
“I can verify that this happened correctly.”
is not the same as:
“I can see every detail of what happened.”
For institutional blockchain infrastructure, that difference matters.
The objective isn't necessarily maximum visibility.
It's appropriate visibility.
What happens to the private information?
The sensitive transaction information can remain within the private environment instead of becoming ordinary public blockchain data.
This allows institutions to maintain stronger control over confidential information while still participating in a broader settlement architecture.
The idea isn't simply to hide everything.
It's about deciding:
What needs to remain private?What needs to be proven?Who needs to see what?
That distinction becomes especially important in regulated financial markets.
But what about regulators?
This is where privacy shouldn't be confused with zero visibility.
Financial institutions still need compliance, auditing and controlled access.
A privacy-preserving architecture can therefore support selective disclosure.
Instead of making everything public to everyone, authorised parties can receive the information they are entitled to access.
This creates a more realistic model for regulated financial infrastructure:
Private by default.
Verifiable when required.
Accessible to authorised parties.
The exact permissions and disclosure mechanisms depend on the implementation and regulatory requirements, but the architectural principle is important.
Why not just use a normal private blockchain?
A conventional private blockchain can keep transactions away from public networks.
But that creates another problem:
How does private institutional activity connect to broader liquidity, assets and settlement?
A completely isolated network can solve privacy while creating fragmentation.
The more interesting challenge is connecting private institutional environments with a wider settlement layer without giving up the privacy requirements of participants.
That's a very different problem from simply building another private chain.
The interesting part isn't just privacy
For me, this is the bigger takeaway.
The architecture separates several things that are often treated as one:
Execution
Where the transaction actually happens.
Privacy
Who can see the underlying information.
Verification
What can be cryptographically proven.
Settlement
Where the relevant state ultimately needs to be recognised.
Once these responsibilities are separated, the architecture becomes much more flexible.
And this is where Rayls becomes interesting to study.
The complete transaction flow
At a high level, the process can be understood like this:
Private transaction
↓
Sovereign / private execution
↓
Cryptographic commitments + zero-knowledge proof
↓
Relayer / interoperability layer
↓
Settlement / verification
↓
Broader network state
The important part is that the transaction doesn't need to become completely public just because it needs to interact with a broader blockchain environment.
Publicly verifiable does not mean publicly readable
This is probably the simplest way to understand the entire concept.
A blockchain can provide evidence that something is valid without exposing every piece of the underlying information.
For financial institutions, that distinction could be extremely important.
Because the real challenge isn't simply:
“How do we put banks on a blockchain?”
It's:
“How do we give financial institutions the benefits of blockchain while respecting their privacy, compliance and operational requirements?”That's the problem this architecture is interesting to examine for.
Final thoughts
The more I look at institutional blockchain infrastructure, the more I think privacy vs transparency is the wrong framing.
The better question is:
What should be private, what should be verifiable, and who should be allowed to see what?
That's where architectures like Rayls become worth examining.
Not simply because they use blockchain, but because they explore how private execution, cryptographic verification and broader settlement can work together.
For institutional adoption, that separation could matter just as much as the blockchain itself.
Sources / further reading
Rayls Official DocumentationRayls High-Level Architecture Documentation
#Rayls #Blockchain #Privacy $RLS