Permissionless Networks Are Not a Compliance No-Go: Financial Institutions Need Not Self-Limit

marsbitОпубліковано о 2026-09-11Востаннє оновлено о 2026-09-11

Анотація

Many traditional financial institutions are exploring permissionless blockchain networks for innovation, but some hesitate due to perceived compliance conflicts with anti-money laundering (AML), counter-terrorist financing (CFT), and sanctions laws. This article argues these concerns are unfounded. Financial integrity laws require reasonable, risk-based controls, not the complete elimination of risk or control over the underlying infrastructure. Using a permissionless network is akin to using public internet infrastructure—unintended, indirect interactions with sanctioned actors (e.g., via protocol-determined validators or fees) do not constitute sanctions violations, as regulators have acknowledged. Privacy concerns can be addressed with advanced cryptography like zero-knowledge proofs. The article proposes a compliance framework focusing on transaction-level controls for clients and counterparties, not network-level gatekeeping, aligning with recent legislative proposals like the GENIUS Act. By avoiding permissionless networks, institutions unnecessarily limit innovation and their role in the evolving digital financial system.

Author: Rebecca Rettig, COO & Chief Legal Officer, Jito Labs

Translation: Chopper, Foresight News

Many financial institutions are leveraging one of the most innovative advances in blockchain technology: permissionless networks.

Franklin Templeton has been keeping the official share register for its on-chain U.S. Government Money Fund on a permissionless blockchain since 2021 and integrated with the Solana network in February 2025. BlackRock has been issuing shares of its tokenized money market fund on Ethereum since March 2024. In January 2025, Apollo extended tokenized access to its diversified credit fund across six permissionless networks. Announcements about traditional financial institutions deploying products on permissionless networks appear almost weekly.

However, some traditional financial institutions still consider permissionless networks unworkable. Instead, many banks, broker-dealers, and asset managers are gravitating toward permissioned networks — systems where a gatekeeper or consortium decides who can validate transactions, who can use or participate in the network, and for what purposes. These institutions currently choose permissioned networks because they mistakenly believe they must. The underlying premise for this choice is that a known and vetted set of participants is a prerequisite for compliance with financial integrity laws, such as the Bank Secrecy Act (BSA) and its Anti-Money Laundering (AML) and Countering the Financing of Terrorism (CFT) requirements, as well as U.S. sanctions laws.

In short, institutional compliance departments see permissionless networks as irreconcilable with the BSA and sanctions laws.

Our new paper, "The Compatibility of Permissionless Networks with Financial Integrity: A Practical Guide for Financial Institutions" (https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7343938), clarifies that financial institutions can build and transact on permissionless blockchain networks. Concerns about financial integrity laws should not hinder such use, and these issues can be resolved today under existing law. Institutions can fulfill their obligations through an appropriate, risk-based compliance framework that places controls at the level of the institution's operations.

Financial institutions do not need any prerequisite — regulatory or otherwise — to own, inspect, or control the underlying infrastructure on which their financial transactions and related information travel. Indeed, regulators have explicitly recognized that financial institutions can adapt their financial integrity compliance programs to technological innovations like permissionlessness.

Requirements of Financial Integrity Laws

The BSA and sanctions laws require financial institutions to have reasonable control over risks and to implement controls to mitigate such risks. They do not require the elimination of all risk, an impossible threshold.

Under the BSA, a financial institution's AML/CFT program must focus on detecting, documenting, and deterring illicit financial activity. These programs are not designed to comprehensively prevent money laundering or terrorist financing; they cannot. Federal banking regulators and FinCEN have made clear that financial integrity hinges on an AML program that is "reasonably designed," which includes "effective processes to identify, measure, monitor, and control risk."

FinCEN put this more bluntly in its August 2020 enforcement statement, describing its approach to BSA enforcement as not a "gotcha" game. The Treasury's report on de-risking directly addresses this latent concern, noting that while banks perceive any failure in bank controls as exposing them to massive fines, regulators point out such fines are rare and typically follow a complete collapse of an AML/CFT program, not the limited shortcomings that a risk-based approach sometimes yields.

The sanctions regime follows a similar logic. OFAC's Framework for OFAC Compliance Commitments identifies five essential components of an effective, risk-based sanctions compliance program: management commitment, risk assessment, internal controls, testing and auditing, and training.

OFAC tailors its expectations for implementation based on an institution's size, products, customers, and geographic reach.

OFAC's Economic Sanctions Enforcement Guidelines weigh factors like willfulness, awareness of conduct, harm to sanctions objectives, and adequacy of a compliance program when deciding how to treat an apparent violation.

The separate enforcement regimes and histories of the agencies support an approach of "risk balance, not zero tolerance." FinCEN and OFAC focus enforcement on reasonably knowable systemic deficiencies, not isolated misses. This position bears directly on institutional concerns about inadvertent violations with permissionless networks.

Both AML/CFT and sanctions mechanisms require controls proportionate to identified risks, and financial institutions can achieve this on permissionless networks. Any minor or inadvertent breach of these mechanisms should not pose a risk to a financial institution.

Inadvertent, Indirect Interactions Do Not Constitute Sanctions Violations

Financial institutions should understand the use of a permissionless network as analogous to the use of infrastructure, much like they treat the public internet and telephone networks. Both are shared systems, whose other users and operators they neither know nor vet. They should accordingly tailor their compliance strategies.

Instead, a major reason financial institutions are reluctant to engage on permissionless networks is the fear of interacting inadvertently or unknowingly with sanctioned or illicit actors — for example, paying network fees to a validator operated by a sanctioned actor, transacting unknowingly with a sanctioned actor, or receiving or trading crypto assets that may have touched illicit actors at some point in their history.

However, inadvertent, unknowing interactions with validators or other network participants from sanctioned jurisdictions are not the type of activity sanctions laws aim to address. This concern is broader than geography, as a validator can be a Specially Designated National (SDN) anywhere: the institution has not chosen, contracted with, exported to, funded, or otherwise transacted with that party, and the fees reach that actor through the same rules that apply to all network users.

Regulators have confirmed this. For instance, in November 2025, the OCC responded to this concern by issuing Interpretive Letter 1186, confirming that banks can pay network fees on blockchain networks and can hold as principal the crypto assets needed to pay those fees. The letter reasoned from Interpretive Letter 1174 from January 2021, in which the OCC concluded that banks could validate, store, and record payment transactions by acting as nodes. Accepting fees paid to a node was a corollary of that conclusion. The letter used the Ethereum blockchain as an example, a permissionless network whose protocol selects validators pseudorandomly. Neither letter distinguished between permissioned and permissionless networks.

When an institution submits a transaction via a permissionless network, the protocol assigns the right to propose the block containing that transaction to a single validator, typically pseudorandomly and proportional to stake. Protocol-defined rules set the fee based on network demand and the computational resources the transaction consumes. Thus, the institution cannot choose the validator that processes its transaction, cannot negotiate the fee, and does not know the validator's identity before or after the transaction. Every other user on the network follows the same rules for their transactions.

As described, this bears some resemblance to the relationship between an email sender and the owner of a router that carries the message, or between a caller and the owner of a switch that completes the call. An internet protocol packet from a U.S. financial institution passing through infrastructure in a sanctioned jurisdiction is not thereby considered a sanctions violation: the same analytical approach applies to the neutral, protocol-mediated transmission at the consensus layer of a permissionless network. This distinction is codified in the BSA's own regulatory definition, which explicitly excludes those who "solely provide delivery, communication, or network access services used by a money transmitter to support money transmission services." The BSA distinguishes neutral carriage from transmittal, and sanctions analysis turns on this same characteristic of the relationship — the absence of choice, direction, or transaction.

Although an institution transacting on a permissionless network does have some contact with unscreened operators, this contact differs from what sanctions law regulates: in the latter case, neither party has chosen the other. To put it another way, in the nearly five years since OFAC issued its "Sanctions Compliance Guidance for the Virtual Currency Industry," there has been no enforcement action based on a validator proposing a block that happened to include a transaction from a sanctioned party, nor one based on market participants paying protocol-level fees.

Privacy and Compliance Are Compatible

A second institutional concern is privacy: can banks transact on a public ledger without exposing their client positions, counterparties, and strategies to competitors?

Early arguments for permissionless ledgers positioned full transparency as a compliance guarantee. Financial integrity requires something narrower: the ability for necessary information to be verified by the institution, its counterparties, and its regulators or supervisors. Cryptography has advanced sufficiently that institutions can prove compliance-relevant propositions — for example, proving a counterparty is not on the SDN List, or proving reserves exceed liabilities — without publicly exposing the data, such as the books and the identities of counterparties. Origin proofs allow a party to prove an asset did not originate from an identified illicit pool without exposing its transaction graph. Confidential transfer designs encrypt amounts and balances on the ledger while preserving a view key the institution can provide to examiners.

Taken together, these cryptographic advances provide regulators with greater assurance of security than a closed system. And they offer competitors absolutely no insight, making privacy no longer a reason to avoid building on permissionless networks.

Some of these technologies are already in production; others remain in development. Address rotation and account abstraction are in production, as are omnibus and layered custody structures that can remove client-level detail from the ledger; and messaging protocols for transmitting travel rule data alongside on-chain transfers. While confidential transfer with audit keys is live, its use at an institutional level remains limited today. Unauthorized state proofs and provenance proofs for designated data sets are still in pilot testing and research. However, solutions do exist: for example, Privacy Cash, a privacy protocol based on Ethereum and Solana, uses zero-knowledge proofs to enable confidential transfers and swaps.

A Risk Management Framework for Permissionless Networks

We propose nine components of a financial integrity program adapted to activity on permissionless networks: transaction-level controls that apply to the institution's customers and counterparties, largely in the same form as today; and network-level controls for the infrastructure itself.

These controls do not require identifying validators, entering into service level agreements with the protocol, or applying for membership to a gatekeeper, as some other features of permissioned networks do: current financial integrity law does not require these.

The proposed framework is also consistent with recent U.S. legislation, the GENIUS Act. GENIUS similarly adopts a framework where AML/CFT and sanctions controls reside at the application layer, operated by entities that know their customers and control the assets. The GENIUS Act requires entities approved to issue payment stablecoins to certify the existence of AML and sanctions compliance programs and maintain the technical capacity to execute lawful orders to freeze or destroy circulating stablecoins. These obligations are imposed on the issuer, not the permissionless network on which the stablecoin circulates.

Conclusion

A generation ago, regulated financial institutions faced an open, global, permissionless network that anyone could join, carrying traffic from legitimate and illicit users. These institutions moved their business onto the open protocols of the internet and built controls at the application layer. The same can be done today for permissionless networks.

Avoiding permissionless networks is not a financial integrity strategy; it is, in effect, abdicating the important role U.S. financial institutions play in building a robust, data-rich, risk-based dollar financial system. Dollar-denominated activity on permissionless networks is happening and will continue, whether U.S. financial institutions participate or not. The efficacy of U.S. financial enforcement depends on monitoring money flows, and the architecture of financial integrity laws — including their enforcement and supervision — relies on U.S. financial institutions observing the activities they are required to monitor. Forgoing the innovation and benefits of engaging with permissionless networks based on a misunderstanding of the relevant law or concerns about past regulatory stances unnecessarily limits traditional financial institutions' options for meeting client needs.

Пов'язані питання

QWhat is the main argument presented in the article regarding permissionless networks and financial institutions?

AThe article argues that permissionless networks are not a compliance no-go zone for financial institutions. Financial integrity laws like the BSA and sanctions regimes do not prohibit their use. Institutions can fulfill their obligations by implementing appropriate, risk-based compliance frameworks at the application layer, similar to how they adapted to the open internet.

QAccording to the article, why do some traditional financial institutions prefer permissioned networks over permissionless ones?

ASome traditional financial institutions prefer permissioned networks due to a mistaken belief that they must use them for compliance. They incorrectly think that having a set of known, vetted participants is a prerequisite for complying with financial integrity laws like the Bank Secrecy Act (BSA) with its AML/CFT requirements and U.S. sanctions laws.

QHow does the article address the concern about unintentional sanctions violations on permissionless networks?

AThe article states that unintentional, indirect interactions, such as paying network fees to a sanctioned validator or unknowingly transacting with a sanctioned entity, do not constitute sanctions violations. The relationship is protocol-mediated and non-discretionary, akin to data packets passing through neutral internet infrastructure. Regulators like the OCC have acknowledged this, and no OFAC enforcement action has been based on such interactions.

QWhat role do cryptographic advancements play in reconciling privacy with compliance on public ledgers?

ACryptographic advancements enable institutions to prove compliance-relevant facts (e.g., a counterparty is not on the SDN list, reserves exceed liabilities) without publicly exposing sensitive data like customer positions or trading strategies. Techniques like zero-knowledge proofs, confidential transfers with view keys, and proof of provenance allow for necessary verification by the institution and regulators while maintaining operational privacy from competitors.

QWhat is the proposed framework for managing financial integrity risks on permissionless networks?

AThe proposed framework involves nine components for a financial integrity program adapted to permissionless networks. It includes transaction-level controls for clients and counterparties (similar to current practices) and network-level controls for the infrastructure itself. It emphasizes that controls do not require identifying validators or signing service agreements with the protocol, aligning with the approach of recent legislation like the GENIUS Act, which places AML/CFT and sanctions obligations on the application-layer issuers, not the underlying network.

Пов'язані матеріали

Founders Fund Leads $5 Million Token Purchase of ANVL: What Exactly is This "Non-Lending" DeFi Protocol Doing?

On October 6th, Founders Fund, led by Peter Thiel, invested $5 million to purchase ANVL tokens from the DeFi protocol Anvil's treasury. The round included participation from Pantera Capital and others, alongside angel investors like Compound founder Robert Leshner. Anvil is not a lending protocol. Instead, users lock assets like ETH or USDC into its vault to generate a verifiable on-chain "Letter of Credit" (LOC). This LOC acts as an economic guarantee, proving the user has sufficient locked collateral to back financial commitments, without borrowing funds. The protocol applies this mechanism to use cases like payment guarantees for merchants (via integration with Flexa) and enabling instant deposits for traders on exchanges like Bullish. Anvil's economic model is unique: it charges zero protocol fees. Its native token, ANVL, derives value solely from governance rights over parameters like supported collateral types. The total supply is 100 billion tokens. Despite an 83% price surge on the investment news, ANVL remains down approximately 89% from its all-time high. The protocol's Total Value Locked (TVL) has also fallen about 87% from its peak of ~$109 million in July 2025 to around $14 million currently. The investment represents a strategic bet that on-chain credit guarantees could become a significant category. Key factors to watch include the rate of real enterprise adoption through Anvil's SDK, the long-term sustainability of its zero-fee model, and the broader migration of traditional trade finance needs to blockchain infrastructure.

marsbit34 хв тому

Founders Fund Leads $5 Million Token Purchase of ANVL: What Exactly is This "Non-Lending" DeFi Protocol Doing?

marsbit34 хв тому

Mathematical Explosion: OpenAI Overnight Solves 722 Math Problems, Quasi-Riemann Hypothesis Proven

OpenAI has stunned the global mathematics and AI communities by releasing a GitHub repository containing 722 manuscripts addressing 372 previously unresolved major mathematical problem families, all reportedly generated by an unreleased internal AI model. The announcement, made without prior peer review, has provoked both excitement and alarm among mathematicians. The most notable breakthrough claims to be a proof of a "quasi-Riemann Hypothesis," establishing a zero-free region for Dirichlet L-functions with real part greater than 7/8 and eliminating the Landau-Siegel zeros—a significant leap in analytic number theory. The work has reportedly undergone formal verification using Lean. Other highlighted results include: unconditionally proving the NP-hardness of the basic semidefinite programming (SDP) threshold for approximation algorithms, based solely on P ≠ NP and circumventing the Unique Games Conjecture; proving the rational Hodge conjecture for abelian varieties with complex multiplication (CM); and resolving both the symmetric and asymmetric Mahler conjectures in convex geometry. According to OpenAI, most proofs were generated automatically by the model, with an average "thinking" time of just three hours per problem. This unprecedented scale and speed have sparked intense debate about the future of human mathematicians. While some express fear about the concentration of intellectual power, others see it as the dawn of a new era of discovery driven by AI. The mathematical world is now tasked with scrutinizing these claims, which, if verified, would represent historic milestones.

marsbit1 год тому

Mathematical Explosion: OpenAI Overnight Solves 722 Math Problems, Quasi-Riemann Hypothesis Proven

marsbit1 год тому

As Midterm Elections Approach, the Real Trade in U.S. Stocks Isn't About Who Wins

With the US midterm elections approaching in early November, political uncertainty has re-emenrged as a market variable. While market participants are weighing potential shifts in congressional control and policy direction, historical data suggests midterm elections themselves are not a definitive negative catalyst for US equities. Since 1937, the S&P 500 has averaged a positive gain of 9.2% in midterm election years, though this lags behind the 13.3% average for non-election years. A more consistent historical pattern is increased market volatility and a tendency for stronger performance concentrated in the fourth quarter, as political uncertainty is resolved. The article, citing analysis from J.P. Morgan and Capital Group, argues that the market's primary concern is policy path uncertainty rather than which party wins. This uncertainty tends to depress markets in the run-up to the vote, with a potential rebound afterward as the political risk premium dissipates. However, the article cautions against attributing market performance solely to the election. Recent midterm years like 2018 and 2022 saw significant market declines primarily driven by factors like Federal Reserve tightening and inflation, not the election outcome itself. The core argument is that the midterm election's impact on markets is often secondary to more fundamental drivers. Regardless of whether the result is a unified or divided government, the market's longer-term trajectory has historically been determined by underlying economic conditions. For the current environment, the key variables to watch post-election are not political labels but the path of interest rates, corporate earnings trends, and whether any actual policy changes materially alter cash flow expectations for businesses. The election may influence sentiment and policy expectations, but the sustainability of any year-end rally will ultimately depend on these core fundamentals of profitability, rates, and economic data.

marsbit1 год тому

As Midterm Elections Approach, the Real Trade in U.S. Stocks Isn't About Who Wins

marsbit1 год тому

AI Can't Change 'DNA': How Long Can SanDisk Stay Strong?

**AI Cannot Alter the "DNA": How Much Longer Can Western Digital's Run Last?** This analysis examines the sustainability of the current "super cycle" for NAND flash memory, driven by AI, with a focus on Western Digital (WD). The core argument is that while AI demand has fundamentally shifted NAND's role from a data warehouse to an essential component on the compute path, especially for AI inference, this does not eliminate the industry's cyclical nature. The piece first assesses the supply-demand dynamics. On the supply side, major producers are showing capital expenditure restraint for NAND, prioritizing DRAM/HBM. Capacity growth through 2028 relies heavily on technological upgrades (increasing 3D layers to 300+) and expansion primarily from China's YMTC, rather than new fabs. Global new fab capacity from players like Samsung and WD/Kioxia is concentrated post-2029. This results in estimated bit supply growth (CAGR ~24% for 2026-2028) largely driven by higher per-wafer output. Demand is undergoing a structural shift. AI-related NAND demand (for data lakes, KV cache, and staging) is forecast to grow at a 75% CAGR from 2025-2028, becoming the dominant driver. Data center demand will surpass 50% of total NAND demand in 2026. Consumer demand (PC, smartphone) is being squeezed and is expected to decline or stagnate. A key 2027 demand catalyst is NVIDIA's Rubin platform with its dedicated contextual memory storage (ICMS). The analysis concludes that a supply-demand deficit will persist into 2027. However, 2028 is identified as a potential inflection point where supply (led by YMTC's new fab) could outpace demand, ending the price rally. For Western Digital, the analysis models a more conservative path than management's guidance. It forecasts Average Selling Price (ASP) peaking in FY28 (ending June 2028) before declining in FY29-30 as the market loosens, though supported by long-term agreements (LTAs) and a higher mix of data center products. Consequently, margins and profits are expected to peak in FY28 and then contract. The valuation suggests WD's current price largely reflects a neutral scenario, with limited short-term upside unless the market becomes convinced that prices will remain stable post-2028. The fundamental takeaway is that despite AI's transformative impact, NAND's cyclical "DNA" remains intact.

marsbit1 год тому

AI Can't Change 'DNA': How Long Can SanDisk Stay Strong?

marsbit1 год тому

Торгівля

Спот
活动图片