Business

The finance compliance model is shifting to prevent data oversharing

By Hillary Remy TheStreet

Updated May 6, 2026 4:36 PM

For years, the financial system has operated on a simple assumption. The more data you expose, the easier it is to establish trust and ensure compliance.

That assumption is now being challenged by the people building the next layer of financial infrastructure.

As financial systems become more data-intensive, a growing number of technologists and digital finance leaders argue that the industry has been solving the wrong problem. The real challenge is not choosing between privacy and compliance. It is designing systems where both can exist simultaneously.

Financial systems no longer need to sacrifice privacy for compliance

The traditional compliance model was built for a different era. Institutions collected everything upfront because their systems were never designed to do anything else. That approach is now running into its limits.

"Sacrificing privacy for compliance isn't a trade-off but a failure of design," Varun Kabra, chief growth officer at Concordium, told TheStreet.

Concordium is a privacy-first financial infrastructure platform built around protocol-level identity verification and zero-knowledge proofs, designed specifically for regulated financial use cases.

Kabra points to a specific inflection point that is making this more urgent. Autonomous AI systems are already beginning to execute payments, manage liquidity, and make purchasing decisions without human intervention. In that environment, traditional compliance models built on repeated data collection will not scale.

"When AI agents are settling invoices, moving funds, and making purchasing decisions without a human in the loop, a compliance model demanding passport handovers at every checkpoint will break," Kabra added.

The implication is direct: The infrastructure of finance must shift from data collection to data verification. Instead of handing over sensitive information repeatedly, participants would carry verified credentials that prove what is required without exposing what is not.

Selective financial data disclosure is the new standard

The concept gaining traction across the industry is "selective disclosure." Rather than sharing full datasets by default, users and institutions would reveal only what is necessary for a specific transaction or regulatory check.

Nathan Chiron, chief revenue and ecosystem officer at iExec, describes this as a fundamental reframing of how trust is established. iExec is a decentralized confidential computing platform that has been building privacy-preserving infrastructure for financial and enterprise use cases since 2018.

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"The stronger model is based on selective disclosure: Users and institutions can prove eligibility, compliance, or transaction requirements without making sensitive data public by default," Chiron told TheStreet.

This approach does not eliminate oversight. It redirects it. Regulators and auditors would retain the access they need. The difference is that exposure is no longer the default condition for every participant in every transaction.

"It is about control, not opacity," Chiron added. "Regulators, auditors, and approved parties may need access. Competitors, counterparties, and the public market do not."

That distinction becomes increasingly significant as financial systems grow more interconnected. Cross-border payments, digital identity systems, and programmable financial instruments are all increasing the number of participants in any given transaction.

Without a way to limit data exposure, every interaction becomes a potential point of vulnerability.

Why financial data over-transparency creates its own risks

Transparency has long been treated as a feature in digital financial systems. But absolute transparency introduces structural problems, particularly as financial activity moves onto public networks where transaction data is visible by default.

The tension is especially visible in digital financial networks, where the same openness that enables auditability also exposes balances, positions, and transaction histories to anyone who looks. For institutional participants, that level of exposure is incompatible with how they operate.

"Public blockchains have created a powerful model for transparency and auditability, but the current design often overexposes users," MinChi Park, COO of CoinFello, noted. "Businesses do not want payroll, treasury management, trading strategies, or client activity visible to competitors. Institutions will not move serious financial flows into systems that expose sensitive information by design."

Privacy-preserving systems, in this view, are not about reducing accountability. They are about removing friction that prevents serious capital from entering digital financial infrastructure at scale.

Zero-knowledge proof technology prevents unneeded financial data sharing

Zero-knowledge proofs are central to making the selective disclosure model work in practice. They allow one party to prove a statement is true without revealing the underlying information.

A user can verify age, identity status, or sanctions-list clearance without exposing a passport or home address. The technology is no longer the primary obstacle. The bigger challenges are standards, trusted credential issuers, regulatory acceptance, and user experience.

iExec's Chiron points to Trusted Execution Environments as a complementary layer. Sensitive data can be processed inside a protected computing environment with only the verifiable result made available. The underlying data never leaves the secure enclosure, according to iExec's 2026 privacy roadmap.

Key themes from experts on privacy and financial compliance:

Concordium's protocol-level identity layer enables identity verification once, then reuse of verified credentials through zero-knowledge proofs without re-exposing personal data, according to Concordium.
iExec launched a specialized confidential computing product in the first half of 2026 designed for financial workflows where exposing transaction data or balances creates compliance and competitive risk, iExec confirmed.
Digital finance platforms can expose balances, transaction history, counterparties, and behavioral patterns by default, creating significant barriers for institutional adoption at scale, CoinFello noted.
Zero-knowledge proof technology allows parties to verify identity, age, or regulatory eligibility without exposing the underlying personal data, a shift that could redefine compliance infrastructure across global financial systems, according to Concordium.

A different foundation for financial infrastructure

The direction of travel is becoming clearer. Future financial systems will not be built on the assumption that more data equals more trust. They will rely on architectures that allow for verification without exposure, compliance without surveillance, and accountability without unnecessary data sharing.

"Privacy-preserving systems are essential for the next phase of digital assets," Park told TheStreet. "The future is not about making everything anonymous. It is about making systems selectively accountable."

That balance is where all three experts converge. The systems that succeed in the next phase of digital finance will not be those that expose everything or those that hide everything. They will be those that prove exactly what needs to be proven, to exactly the parties that need to see it, and nothing more.

The future of finance will not be fully transparent. It will be selectively visible, verifiably private, and built for a world where trust is defined not by what you can see, but by what can be proven.

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This story was originally published May 6, 2026 at 4:17 PM.