With Bruce Ahn, Chief of Staff, Partisia Blockchain Foundation
As tokenized assets and stablecoins evolve into the backbone of on-chain finance, one central question still remains unresolved: how do we protect sensitive ownership data in a public-by-default environment?
Take the example of a tokenized house deed. Something as important as the title to your home shouldn’t be visible for anyone to find and duplicate. As one industry observer put it, “You don’t want someone jumping on a block explorer and copying and pasting your deed.” The same principle applies to tokenized Treasury bonds, real estate, and equity instruments.
These financial primitives demand more than representation on-chain; they require access control, private computation, and secure data handling. Without a privacy layer, institutional adoption of real-world assets (RWAs) will remain cautious.
The Human Side of Data Exposure
Bruce Ahn, Chief of Staff at Partisia Blockchain Foundation, points out that privacy in finance is not a new discussion, it is simply becoming more complex.
“In traditional finance, data handling is framed around Non-Public Information (NPI) and Personally Identifiable Information (PII) ” he explains. “That includes names, addresses, ID numbers, financial accounts, credit reports but also any combination of data that could identify who you are.”
Even something as mundane as a cookie downloaded from a website, or a timestamp from a mobile device, can expose sensitive information. “The reality,” says Ahn, “is that humans are opportunistic. Many will use private data for their own gain, even at the cost of others’ wellbeing.”
He cites familiar examples: websites charging higher prices for Mac users under the assumption that they have higher spending power, or retail apps adjusting prices once a shopper enters a store with location tracking enabled. “It’s the same logic that drives targeted advertising, only applied to financial opportunity,” he adds.
In jurisdictions with weaker privacy laws, this can escalate into outright fraud. Fake property deeds, spoofed real estate sales, and data leaks that lead to identity theft all show how fragile ownership data can be.
“Even in established economies, the risks are real from data brokers selling information to front-running trades or even personal harassment when identities are exposed,” Ahn notes.
Privacy as Prerequisite, Not Luxury
According to Ahn, the distinction between speculative digital assets and tokenized real assets is crucial. “A meme token is a new speculative asset class. But tokenized real estate or stablecoins are tied to existing, regulated markets,” he says. “We’re not debating whether private data should be protected, that debate is already settled. The real question is how we reconcile decentralization with today’s centralized privacy frameworks.”
In Web2, users rely on trusted intermediaries, banks, cloud providers, custodians, to safeguard private information. Those entities face legal consequences for misuse, which creates a degree of accountability.
“But that model is centralized,” Ahn emphasizes. “In Web3, you can’t outsource privacy. You either rely on old systems for confidentiality, or you build decentralized methods that make privacy programmable.”
Some advocates argue for full transparency, but Ahn calls this a false choice. “You can’t demand institutional adoption and at the same time insist on zero privacy,” he says. “No regulator, investor, or enterprise will accept that trade-off.”
The Rise of Confidential Computing
Ahn points to privacy-enhancing technologies (PETs), decentralized confidential computing, and hybrid public-private blockchains as the path forward. These technologies allow computation on encrypted data, information can be processed, validated, and proven without being revealed.
“In Web2, your security depends on the company holding your data,” he explains. “In Web3, your security must depend on you. Confidential computing lets you use your data securely, without giving it away, and this is exactly what we are working on.”
To illustrate, Ahn describes a project currently in exploration with a luxury watch manufacturer.
“The company wants to understand the full lifecycle of their watches including resale markets, repair histories, and authenticity checks, but they can’t get that data because much of it is private,” he says. Owners may also not want to disclose where they bought the watch, how much they paid, or where it was repaired.
“A simple digital twin doesn’t solve this,” Ahn notes. “In fact, it might make the privacy problem worse.”
The solution, he argues, is combining public and private blockchains with confidential computing. “That way, the owner keeps control of their data. The company can still use that data for verification and customer engagement, but without compromising the owner’s privacy. Everyone in the ecosystem benefits.”
Real-World Applications
Partisia Blockchain is exploring similar models across industries:
- Financial fraud prevention: Secure data sharing across borders and institutions without violating privacy laws.
- Healthcare research: Allowing scientists to analyse medical data without exposing patient records.
- Debt transparency: Verifying how loaned funds are used and repaid using encrypted data proofs without needing to expose company trade secrets.
- Sustainability tracking: Providing verifiable emissions and fuel efficiency data for shipping or logistics companies without revealing operational details.
“These are not speculative use cases,” Ahn stresses. “They’re all examples where confidentiality is critical to both compliance and competitiveness.”
From Web2.5 to Web3 Maturity
For Ahn, today’s institutional landscape resembles “Web2.5” a transitional phase combining decentralized networks with centralized privacy practices. “Institutions are adopting blockchain infrastructure, but not yet the principles that make decentralization powerful,” he says. “That’s why confidential computing is so important. It’s what will make full decentralization viable.”
In his view, privacy is not the opposite of transparency — it’s the enabler of trust. “The more mature Web3 becomes, the more obvious this will be,” he concludes. “You can’t have global adoption without privacy. And when privacy becomes programmable, decentralization finally becomes practical.”
