Privacy and Regulatory Convergence: The Evolution of Privacy Technologies Indicated by Transaction Signatures

As institutional investor funds rapidly expand their share in the cryptocurrency market, privacy technology is reaching a fundamental turning point. Once, cryptographic methods such as transaction signatures were considered the highest form of privacy, hiding everything to maximize privacy value. Now, however, the mainstream financial sector is increasingly valuing the ability to “verify everything as needed.” This reversal is not merely a technical evolution but a natural result of the interaction between institutions and technology during the integration of blockchain into real-world financial systems.

For corporations and financial institutions, having transaction relationships, position structures, and strategic timing fully exposed poses significant business risks. At the same time, the privacy they require must be disclosed in a manner compliant with audits and regulations. To resolve this contradiction, the focus of privacy technology is rapidly shifting from “complete concealment” to “selective disclosure.”

The End of Absolute Anonymity: The Institutional Reality Facing Monero’s Model

Complete anonymity models, exemplified by Monero, constitute the earliest and most “pure” technical practice in privacy. Cryptographic mechanisms like ring signatures, stealth addresses, and RingCT conceal sender, receiver, and amounts, making it extremely difficult for external observers to reconstruct transaction details from signatures. For individual users, this “default privacy with unconditional guarantees” experience is highly attractive.

However, as this advantage reaches its limit, institutional challenges become more rigid. For financial institutions, transaction data is not just data but essential for legal obligations such as KYC/AML, sanctions compliance, counterparty risk management, and reporting to regulators. Fully anonymous systems lock this information at the protocol level “permanently,” making it structurally impossible for institutions to voluntarily comply.

This contradiction manifests clearly in real markets. Major financial infrastructure systematically excludes assets with strong anonymity features, while demand shifts toward frictional intermediate channels, leading to wider spreads and ongoing passive selling pressure. Consequently, the stronger the privacy, the lower the market liquidity, creating a vicious cycle that drives institutional funds away.

The Rise of Selective Privacy: New Technical Compromises Demonstrated by Zcash and Canton

A new approach to break this deadlock is the concept of “selective privacy.” Its core is not to oppose transparency but to introduce a controllable, permissioned privacy layer on a verifiable ledger that is default transparent.

Zcash is a pioneering example. Its coexistence of transparent addresses (t-addresses) and shielded addresses (z-addresses) offers users the choice between transparency and privacy. When using shielded addresses, transaction information is encrypted via cryptography, but a “viewing key” can be provided to third parties to fully disclose transaction details if needed. This design explicitly states that privacy does not have to sacrifice verifiability.

However, Zcash’s binary structure (public or shielded) is too coarse for complex real-world financial workflows. Institutional transactions involve multiple participants and responsible parties, with asymmetric information needs. Payment processors need to know amounts and timestamps, while regulators are only interested in the source compliance attributes. Zcash cannot accommodate such differentiated disclosures.

In contrast, another paradigm exemplified by Canton Network focuses on “managing access rights to information” rather than “hiding transactions.” Using the Daml smart contract language, a single transaction can be split into multiple logical components, with each participant able to view only data related to their permissions. Privacy becomes embedded in the contract structure and permission system itself, rather than an additional attribute after transaction completion.

Evolution Toward Privacy 2.0: From Transaction Concealment to Computing Infrastructure

As privacy becomes a prerequisite for institutional participation on blockchains, the technical focus shifts accordingly. Privacy is no longer just about “whether transactions are visible” but about whether the system can perform calculations, coordination, and decision-making without exposing raw data.

In the era of Privacy 1.0, the focus was on “what to hide and how to hide it.” Privacy 2.0, however, shifts toward “what can be done even in a hidden state.” Institutions seek not just private transfers but the ability to execute complex operations—such as transaction matching, risk calculations, settlements, strategic execution, and data analysis—under privacy assumptions.

Aztec Network exemplifies this shift. Its rollup architecture based on zero-knowledge proofs allows developers to define precisely which states are private and which are public at the contract layer. The hybrid logic of “partial privacy, partial transparency” enables privacy to extend beyond simple transfers into complex financial structures.

Furthermore, projects like Nillion and Arcium extend privacy-preserving computations beyond blockchain into the broader realm. Combining multi-party secure computation (MPC), fully homomorphic encryption (FHE), and zero-knowledge proofs, data can be stored, retrieved, and computed in encrypted form, enabling not only cryptographic techniques like signatures but also complex calculations to be performed while remaining hidden. This evolution shifts privacy from “transaction attributes” to “computing infrastructure capabilities,” opening new applications such as AI inference, private institutional transactions, RWA data disclosure, and inter-company data collaboration.

Future Directions Seen Through Regulatory Dialogue

The watershed moment for privacy technology is shifting from “whether privacy exists” to “how to leverage privacy in compliance with regulations.”

In Privacy 1.0, regulators focused on whether anonymity exists. In Privacy 2.0, the question has shifted to whether compliance can be verified without exposing raw data. Zero-knowledge proofs, verifiable computation, and rule-based compliance have become key interfaces in the dialogue between privacy-preserving projects and regulatory frameworks. Privacy is no longer a risk factor but a technical means to achieve compliance.

Another characteristic of Privacy 2.0 is the engineering and invisibility of privacy. Privacy is no longer a distinct “privacy coin” or “privacy protocol” but is decomposed into reusable modules integrated into wallets, account abstraction, layer 2 solutions, and cross-chain bridges. End users may not even realize they are using privacy, yet their asset balances, transaction strategies, and identity linkages are protected by default. This “invisible privacy” offers a practical path for large-scale adoption.

Conclusion: A Fundamental Shift from Concealment to Verifiability

By 2026, the state of privacy technology signifies a redefinition of privacy itself. Fully anonymous models, while valuable for individual security, are difficult to support at the institutional level due to their unauditability. Selective privacy, with its transparent and verifiable design, provides a feasible technical interface between privacy and oversight. The rise of Privacy 2.0 elevates privacy from asset attributes to an infrastructure for computation and collaboration.

Long-term, truly valuable privacy projects need not be the most “concealed” but should be the most “accessible, verifiable, and regulation-compliant.” Basic cryptographic techniques like transaction signatures can yield vastly different values depending on their application. This marks a key transition from experimental to mature privacy technologies and guides blockchain toward genuine institutional integration.