Safeheron has integrated Chainalysis KYT, a real-time transaction-screening tool, into its institutional digital-asset self-custody platform, aiming to let compliance teams assess and act on potential money-laundering risks before a transfer is executed.
The partnership places Chainalysis’ blockchain intelligence inside Safeheron’s wallet operations, allowing institutions to apply their own compliance policies as assets are about to move. A transaction can be approved, held for review, or blocked under predefined rules, with the decision recorded alongside the policy used, the person who authorized it, and a time stamp.
For custody providers, payment firms and other organizations handling client or treasury assets, the arrangement is designed to move anti-money-laundering controls closer to the transaction itself. Many existing compliance processes rely on reviews after activity has occurred or require staff to move between custody, monitoring and case-management systems. Safeheron and Chainalysis are seeking to reduce that separation by embedding screening in the execution workflow.
Screening moves into wallet operations
Chainalysis KYT, short for Know Your Transaction, monitors blockchain activity and assigns risk signals to addresses and transfers. Institutions use such tools to identify potential exposure to sanctioned entities, fraud, stolen funds, darknet markets and other categories of illicit activity identified through blockchain analysis.
Under the Safeheron integration, that screening would be available when a user initiates an outbound transaction from a self-custody environment. Rather than merely creating an alert for a separate team to examine later, the system is designed to connect the risk result to the approval process that determines whether the transaction is signed and sent.
Safeheron said the controls can be applied across wallet operations and asset types, helping compliance teams use consistent policies instead of relying on individual manual checks. The company also said its platform will create a shared record for compliance, risk, audit and legal functions.
That audit trail could be particularly useful for institutions that need to explain why a transfer was permitted or stopped. A transaction decision tied to a policy, named approver and time-stamped record gives internal control teams a clearer account of how a potentially sensitive movement was handled.
Wang, chief executive of Safeheron, said the partnership brings blockchain intelligence into clients’ operational environments. Hughes, who leads business development and partnerships at Chainalysis, said the integration provides a compliance verdict on transactions before they move.
Standardized controls for new products and treasury teams
Safeheron said product teams could use the same risk layer when rolling out new digital-asset services, including support for additional asset classes. The company’s argument is that an institution would not need to build a separate transaction-screening connection each time it launches a new custody, payment, tokenization or trading-related product.
That model could appeal to firms expanding into tokenized real-world assets, digital banking products or payment services, where a new offering often requires both technical wallet infrastructure and controls that satisfy internal compliance requirements. Reusing an existing screening layer may shorten the operational work required to bring a product under an institution’s established risk framework.
The integration also targets treasury and operations teams, which Safeheron said can replace ad hoc approval practices with standardized policy-driven workflows. In practice, this means a transaction’s treatment can be determined by rules such as the destination address, risk category, transfer size, asset involved or the approval permissions assigned to relevant employees.
Institutions will retain responsibility for defining those policies. Blockchain analytics can flag risk based on known patterns, address attribution and exposure, but the final thresholds for holding, blocking or escalating a transaction depend on a firm’s legal obligations, risk appetite and jurisdiction.
Compliance expectations have become more demanding
Chainalysis said its research found that nearly half of institutions onboarded in 2026 operated at compliance strictness levels that only the top 10% of firms reached in 2020. The company characterized the finding as evidence that compliance expectations are increasingly being built into infrastructure, rather than being treated solely as a review process outside the core transaction system.
The shift has practical consequences for firms using self-custody technology. Self-custody gives an institution direct control over private-key operations and transaction authorization, but it also places transaction controls closer to the organization itself. Where assets move through an institutional wallet, compliance teams may need a reliable way to intervene before a transfer becomes final on the blockchain.
Pre-execution screening does not eliminate the need for broader anti-money-laundering programs, including customer due diligence, sanctions procedures, investigations and reporting obligations. It does give firms a point of control at the moment a transaction is being authorized, where an operational decision can still affect whether assets leave the wallet.
Self-custody providers face a more integrated compliance test
Safeheron describes its platform as institutional digital-asset self-custody infrastructure based on in-house developed, open-source Secure Multi-Party Computation and Trusted Execution Environment technology. Secure Multi-Party Computation distributes control over key material or signing processes, while trusted execution environments provide protected areas of computing hardware for sensitive operations.
The company said it serves payment companies, liquidity providers, digital banks, real-world asset platforms, trusts and asset managers. Those client groups have different transaction patterns, yet all face pressure to document who authorized transfers and how risks were assessed.
Chainalysis describes itself as a blockchain data platform that uses blockchain data and artificial intelligence to connect digital-asset activity with real-world services. Its KYT product is widely used across compliance operations, though the Safeheron agreement focuses specifically on embedding those risk signals into self-custody transaction workflows.
The companies did not disclose financial terms. The practical test will be whether institutions can configure the system without creating excessive delays for legitimate transfers, especially in treasury and payment operations where speed, controls and clear approval accountability all need to coexist.
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