A Senate draft of the Digital Asset Market Clarity Act, H.R. 3633, introduced one of the clearest proposed frameworks yet for applications that facilitate onchain transactions.
The language examined in this article appeared in a January 12, 2026 Senate Banking Committee draft amendment to H.R. 3633. Within Title III, “Responsible Innovation in Decentralized Finance,” Section 302 was titled “Illicit Finance Obligations for Distributed Ledger Application Layers.”
The provision would have directed the U.S. Department of the Treasury to issue guidance clarifying how sanctions, anti-money laundering, and counter-terrorist-financing obligations apply to certain web-hosted applications. The Senate Banking Committee was scheduled to consider H.R. 3633 during a January 15, 2026 executive session, but that session was postponed.
Section 302 is important not because it created an immediate compliance obligation, but because it articulated a possible regulatory model: screen wallet addresses, identify illicit-finance indicators, monitor transactions, limit exposure, and intervene before prohibited transactions are routed.
That model raises a significant question for the industry: What should commercially reasonable, risk-based onchain controls look like in practice?
At Webacy, we believe any implementation of this framework should be real-time, proportionate, explainable, and technically grounded. The objective should not be indiscriminate blocking. It should be accurate and defensible risk management that allows applications to identify material threats and act before risk becomes an event.
What is Section 302 of the Digital Asset Market Clarity Act?
In the January 2026 Senate draft of H.R. 3633, Section 302 would have required Treasury, within 360 days of enactment, to issue guidance explaining the sanctions, anti-money laundering, and counter-terrorist-financing obligations applicable to covered distributed ledger application layers owned or operated by U.S. persons.
The proposed guidance included four central areas:
- Using commercially reasonable, industry-standard distributed-ledger analytics tools to screen wallet addresses.
- Blocking, rejecting, restricting, or preventing the routing of transactions prohibited by U.S. sanctions laws.
- Identifying and restricting transactions exhibiting ransomware indicators, illicit-finance typologies, or other significant and identifiable illicit-finance risks.
- Implementing ongoing, risk-based measures to monitor, mitigate, and limit exposure to high-risk transactions.
Although the provision appeared in a legislative draft and its language may continue to evolve, it provides a useful blueprint for evaluating how risk intelligence can be embedded directly into onchain applications.
What is a distributed ledger application layer?
Section 302 defined a “distributed ledger application layer” as a web-hosted software application that allows a user to create or submit an instruction, communication, or message to a distributed ledger application or decentralized finance trading protocol for the purpose of executing a transaction.
In practical terms, this could include many of the websites and interfaces people use to access onchain financial products.
The definition expressly excluded:
- The underlying distributed ledger application
- Distributed ledger protocols and systems
- Decentralized finance trading protocols themselves
- Nodes, validators, clients, and other computational infrastructure
- Software and hardware wallets that facilitate individual custody of digital assets
The proposed language was not attempting to impose obligations directly on autonomous software or a blockchain. It focused on the application layer through which a person prepares or submits an onchain transaction. An application can evaluate a wallet, counterparty, contract, asset, and proposed transaction before facilitating the interaction. Depending on the result, it can allow the transaction, request additional information, impose limits, escalate it for review, or prevent it from being routed.
Treasury would still need to clarify how this definition applies to products that combine multiple functions. Embedded wallets, smart-wallet platforms, transaction aggregators, hosted interfaces, and routing services may perform both wallet-like and application-layer functions. Any future guidance should evaluate the function being performed, not merely the label a company gives its product.
What controls did Section 302 contemplate?
Section 302 described several controls that covered application layers could be expected to implement.
Wallet and sanctions screening
Covered applications would be expected to use "commercially reasonable" distributed-ledger analytics measures and industry-standard tools to identify wallet addresses that:
- Are owned by sanctioned persons
- Involve sanctioned jurisdictions
- Involve sanctioned financial institutions
- Present other indicators of activity prohibited by U.S. sanctions
This language recognizes that effective sanctions controls require more than periodically checking a static list. Onchain risk changes continuously. Funds move between addresses, new entities emerge, ownership information changes, and previously unknown relationships become visible. An address that appears low-risk today may present materially different risk tomorrow. Effective screening therefore requires current attribution, transaction context, behavioral signals, and an understanding of how funds move between entities.
Prevention of prohibited transactions
Applications would be expected to block, reject, prevent the routing of, or otherwise restrict transactions prohibited under U.S. sanctions law. This shows a shift from retrospective detection to pre-transaction risk controls.
A system that identifies a prohibited transaction only after execution may help with reporting or investigation, but it cannot prevent the application from facilitating that transaction. Section 302 instead pointed toward controls operating between the user’s instruction and the transaction’s submission. This is where real-time risk intelligence becomes essential!
Ransomware and illicit-finance detection
The provision also contemplated blocking or restricting transactions that exhibit:
- Indicators of ransomware activity
- Recognized illicit-finance typologies
- Other patterns presenting a significant and identifiable illicit-finance risk
This goes beyond matching an address against a sanctions list. It requires applications to understand patterns of behavior, relationships among addresses, proximity to identified threats, and the context surrounding a proposed transaction.
Risk-based AML and counter-terrorist-financing measures
Finally, covered applications would be expected to implement and maintain risk-based measures to identify, mitigate, and address illicit-finance risks. These measures could include monitoring for risk indicators, limiting exposure to high-risk transactions, and complying with applicable special measures implemented by Treasury under 31 U.S.C. § 5318A.
Taken together, the proposed requirements envisioned an active risk-management system, not a passive compliance checklist.
What should “commercially reasonable” screening mean?
One of the most consequential terms in Section 302 was also one of the least defined: “commercially reasonable.”
Treasury should avoid defining commercial reasonableness solely by whether an application purchased access to a screening vendor. Possessing a tool is not the same as operating an effective control.
A commercially reasonable screening program should be evaluated based on capabilities such as:
- Coverage across the blockchains and assets supported by the application
- Freshness and frequency of risk-intelligence updates
- Quality and provenance of address and entity attribution
- Coverage of sanctions, ransomware, exploits, scams, and other relevant typologies
- Ability to evaluate direct and indirect exposure
- Transaction-screening latency and system availability
- Confidence levels and supporting evidence
- Integration with the application’s decision and escalation policies
- Retention of auditable screening and decision records
- Processes for correcting inaccurate or outdated information
The appropriate standard should also be proportionate to the size, activity, and reasonably knowable risks of the application. A high-volume platform facilitating significant financial activity may require broader coverage and more sophisticated controls than a limited-purpose application with minimal transaction activity. Both, however, should be expected to understand their risks and implement controls appropriate to them.
Treasury should also clarify when an application may reasonably rely on a qualified analytics provider and what diligence an operator should perform on that provider. The standard should ultimately focus on whether the operator has established a reliable risk-management process appropriate to its activity, exposure, and scale.
Ownership, exposure, and risk are not the same thing
Section 302 specifically referred to identifying addresses “owned by” sanctioned persons. That should not be interpreted as treating every wallet with indirect exposure to a sanctioned entity as though the wallet itself were sanctioned.
Onchain relationships exist across a spectrum:
- Confirmed ownership or control
- Direct transactions with an identified entity
- Indirect exposure through one or more intermediaries
- Incidental or unsolicited transfers
- Shared infrastructure
- Behavioral similarities
- Probabilistic associations
These relationships carry different evidentiary weight and should produce different responses. An address confirmed to be controlled by a sanctioned person may warrant an immediate block. A wallet with low-value, multi-hop exposure from months earlier may warrant additional analysis rather than automatic rejection. A wallet that received an unsolicited dust transaction should not necessarily be treated as a willing counterparty to the sender.
Future guidance should require analytics providers and application operators to distinguish:
- Ownership from exposure
- Direct activity from indirect relationships
- Current risk from historical exposure
- Confirmed attribution from probabilistic inference
- Material exposure from incidental contact
This distinction is essential to effective enforcement, defensible decision-making, and the protection of legitimate users.
Risk controls should be proportionate, not binary
Section 302 referred to blocking and restricting transactions, but a risk-based framework should support more than a binary allow-or-deny decision.
Depending on the severity, confidence, proximity, and immediacy of the risk, an application might:
- Allow the transaction
- Allow it with enhanced monitoring
- Request additional information
- Apply a transaction or exposure limit
- Delay routing pending review
- Escalate the interaction to a human reviewer
- Reject or prevent routing
- Block the interaction when legally required
The appropriate response should consider more than the presence of a single risk indicator.
A useful policy should account for the type of risk, strength of attribution, proximity of exposure, transaction value, pattern of activity, relevant jurisdiction, and potential consequences of an incorrect decision. Treasury should define “significant and identifiable illicit-finance risk” around these concepts. Without a clearer standard, applications may either underreact to meaningful threats or over-block legitimate users out of caution.
Explainability and auditability must be part of the standard
If an application blocks or restricts a transaction, it should be able to explain why.
A defensible decision record should identify:
- The wallet, entity, contract, asset, or transaction evaluated
- The relevant risk indicators
- The source and timestamp of the intelligence
- Whether the relationship was direct, indirect, or inferred
- The severity and confidence of the finding
- The policy rule applied
- The resulting action
- Whether the decision was automated or reviewed by a person
These records allow operators to test their controls, investigate incidents, resolve disputes, and demonstrate that they followed a reasonable policy. Explainability is also necessary for managing false positives. Risk information can be incomplete, disputed, or overtaken by new facts. Guidance should encourage procedures for correcting attribution errors, reviewing conflicting results, and reconsidering transactions restricted because of stale information.
An effective system must be capable of making decisions quickly without turning its reasoning into a black box.
Static blocklists are not enough
Sanctions lists are essential, but modern onchain risk cannot be addressed through list matching alone.
A useful framework must also account for:
- Newly compromised or exploited addresses
- Ransomware collection and payment patterns
- Multi-hop movement of illicit funds
- Address poisoning and impersonation
- Rapid dispersion or consolidation of funds
- Interactions with malicious contracts
- The use of bridges, mixers, or intermediary services to obscure flows
- Material changes in transaction behavior
- Emerging typologies not yet represented by a formal label
Section 302’s reference to illicit-finance typologies and identifiable patterns provided room for this more dynamic approach. Future standards should preserve that flexibility. Legislation and guidance should establish expected outcomes without locking the market into a specific detection technique, architecture, or vendor methodology.
Real-time requirements require real-time infrastructure
Onchain transactions can move from initiation to settlement in seconds. A screening framework designed around delayed batch processing or manual review alone will not consistently prevent prohibited activity from being routed.
Application-layer controls therefore need:
- Low-latency risk evaluation
- Reliable infrastructure and availability
- Continuously refreshed intelligence
- Pre-transaction screening
- Configurable policy enforcement
- Rapid escalation for ambiguous cases
- Post-transaction monitoring when risk changes
Not every case can or should be resolved automatically. However, automation should handle clear decisions and route higher-risk or lower-confidence cases to appropriate human review. The goal is not to remove human judgment. It is to apply that judgment where it adds the most value.
How Webacy supports Section 302-style controls
Webacy provides real-time risk intelligence for the onchain economy. Our infrastructure helps applications, financial platforms, and digital asset businesses evaluate risk before a transaction is routed and continue monitoring exposure after it occurs.
Wallet and counterparty screening
Webacy evaluates wallet addresses using hundreds of risk indicators across onchain activity, known threats, sanctions intelligence, transaction behavior, and entity relationships. This gives operators more context than a binary list match and helps them differentiate among types and levels of risk.
Fund-flow analysis
Webacy’s Fund Flows technology traces how assets move across addresses and entities. Risk is evaluated throughout the graph, helping teams distinguish direct interaction from indirect exposure and understand how a wallet is connected to a potential threat. This context is critical for avoiding policies that treat every degree of exposure as equivalent.
Transaction risk intelligence
Applications can use Webacy to evaluate proposed transactions, participating wallets, contracts, assets, and related risk indicators before facilitating execution. These results can be incorporated into an application’s own policies to determine whether an interaction should proceed, be limited, or require further review.
Smart-contract and asset analysis
Illicit-finance and transaction risk do not exist only at the wallet level. Webacy analyzes smart contracts, tokens, stablecoins, vaults, and other onchain assets to provide a broader view of the interaction being proposed. This includes indicators related to contract behavior, administrative control, market activity, governance, liquidity, and other sources of financial and technical risk.
Continuous monitoring
A wallet, contract, or asset that appears low-risk today may change tomorrow. Webacy continuously monitors risk signals so customers can identify changes in exposure, emerging threats, and material changes in onchain behavior. This allows risk management to continue beyond the initial screening decision.
Programmable policy enforcement
Webacy intelligence can be integrated into application policies that allow, deny, restrict, or escalate activity based on the operator’s obligations and risk tolerance. This creates a decision layer between a transaction instruction and the movement of funds.
Explainable risk decisions
Webacy’s outputs provide underlying indicators and context, helping teams understand why an interaction was flagged and retain evidence supporting their response.
This is especially important when risk decisions affect customer access, transaction routing, or compliance reporting. Webacy technology can support the technical implementation of a risk-based compliance program. Final legal obligations and transaction decisions remain dependent on the operator’s activities, policies, and applicable law.
A practical implementation model for Section 302
A strong application-layer risk framework should operate across five stages.
1. Identify
Evaluate the participating wallets, entities, contracts, assets, jurisdictions, and proposed transaction.
2. Contextualize
Determine whether a finding represents confirmed ownership, direct interaction, indirect exposure, behavioral risk, or another type of association.
3. Decide
Apply a documented policy based on severity, confidence, proximity, transaction context, and applicable legal requirements.
4. Act
Allow, monitor, limit, escalate, reject, or block the transaction.
5. Monitor
Continue evaluating the relevant wallets, entities, contracts, and assets as risk intelligence and onchain conditions change.
This model turns risk intelligence into an operational control while preserving proportionality and human oversight where needed.
Webacy’s recommendations for future Section 302 guidance
If Treasury or Congress moves forward with a similar framework, Webacy recommends that the final approach:
Define "commercially reasonable" screening through measurable capabilities
Coverage, freshness, reliability, attribution quality, explainability, and the ability to operate within a live transaction flow should matter more than whether an operator can simply demonstrate that it purchased a tool.
Distinguish ownership from exposure
Confirmed control of a sanctioned address should not be treated as equivalent to remote, incidental, or low-confidence exposure.
Establish proportionate response standards
Guidance should recognize a spectrum of responses, including monitoring, limits, information requests, escalation, rejection, and blocking.
Define significant and identifiable risk
Risk determinations should consider severity, confidence, proximity, transaction context, and the potential impact of the activity.
Require explainable and auditable decisions
Operators should retain enough information to explain what was detected, which policy was applied, and why a particular action was taken.
Address false positives and remediation
Guidance should support timely review of inaccurate attribution, stale labels, conflicting results, and disputed restrictions.
Recognize behavioral intelligence and fund flows
Effective controls should extend beyond known-address lists to include ransomware patterns, laundering behavior, malicious contracts, address poisoning, and emerging illicit-finance typologies.
Clarify reasonable vendor reliance
Operators should understand when and how they may rely on qualified analytics providers, as well as the diligence they must perform.
Account for real-time operations
Screening and policy enforcement must be capable of functioning before a transaction is routed, not only during retrospective review.
Clarify hybrid application models
Embedded wallets, smart-wallet platforms, aggregators, and other applications combining multiple technical functions require clearer treatment.
Preserve technological flexibility
Standards should define risk-management outcomes without requiring one vendor, methodology, architecture, or fixed technical approach.
From legislative principle to operational infrastructure
The January 2026 version of Section 302 offered a meaningful starting point for thinking about controls at the application layer, where onchain activity can still be evaluated and, when necessary, prevented.
The policy objective and technical reality are converging around the same principle: risk intelligence must become actionable before a transaction is executed.
The strongest framework will be rigorous enough to make onchain finance safer and precise enough to avoid treating every imperfect signal as evidence of prohibited activity. It will distinguish ownership from exposure. It will match the response to the risk. It will produce evidence, not just a score. It will monitor continuously rather than treating compliance as a one-time check. Most importantly, it will connect intelligence to action.
The most effective systems will combine high-quality onchain intelligence, programmable policy, real-time intervention, and accountable human judgment. That is the infrastructure the onchain economy needs to grow with confidence.
Frequently asked questions
What is Section 302 of the Digital Asset Market Clarity Act?
In a January 2026 Senate Banking Committee draft amendment to H.R. 3633, Section 302 was a proposed provision addressing illicit-finance obligations for distributed ledger application layers. It contemplated Treasury guidance concerning wallet screening, sanctions controls, ransomware indicators, transaction restrictions, and risk-based AML and counter-terrorist-financing measures.
Did Section 302 become law?
The language analyzed here appeared in a legislative draft and did not itself create an immediate legal obligation. Legislative language may change as a bill moves through Congress. The U.S. Government Publishing Office record for H.R. 3633 should be consulted for the subsequently reported version and official status.
What is a distributed ledger application layer?
The draft defined it as a web-hosted application through which a user can create or submit an instruction or message to a distributed ledger application or DeFi trading protocol for the purpose of executing a transaction.
What technology would applications need under a Section 302-style framework?
Relevant capabilities could include wallet screening, sanctions intelligence, entity attribution, fund-flow analysis, transaction monitoring, illicit-finance typology detection, real-time policy enforcement, continuous monitoring, and auditable decision records.
How can Webacy help?
Webacy provides risk intelligence across wallets, transactions, smart contracts, tokens, stablecoins, vaults, and other onchain assets. Applications can use this intelligence to screen activity, understand direct and indirect exposure, monitor changes, and support policies that allow, restrict, reject, or escalate transactions.
This article analyzes Section 302 as it appeared in a January 12, 2026 Senate Banking Committee draft amendment to H.R. 3633. Legislative text can change throughout the congressional process. Readers should consult the official U.S. Government Publishing Office record for H.R. 3633 for the subsequently reported version and current status. This article is for informational purposes and does not constitute legal advice.
