As onchain applications scale, AML (Anti-Money Laundering) requirements are becoming a core part of how platforms are designed and operated. Transaction speed, composability, and cross-system interactions introduce complexity that traditional compliance systems are not built to handle.

Perena, the Solana-based stablecoin protocol behind USD STAR (USD*), has processed over $2.1B in transaction volume. To maintain compliance at that scale, Perena integrated Range's real-time AML screening and transaction monitoring infrastructure directly into its protocol operations.

Perena is a decentralized financial protocol building a yield-bearing digital dollar, backed by a diversified set of collateral and strategies. The protocol manages onchain and off-chain positions across exchanges, lending markets, and real-world assets to generate sustainable yield while maintaining full collateralization. Over 100,000 wallets have interacted with the protocol to date.

Given this structure, Perena coordinates complex transaction flows across multiple counterparties, assets, and systems. This requires continuous visibility into fund movement and counterparty risk. By integrating Range, Perena adds real-time AML screening and transaction monitoring across these flows, ensuring activity can be assessed and evaluated as it moves through the protocol.

The Problem: Retrospective compliance does not scale

Onchain environments require a different approach to AML. Transactions are executed quickly, counterparties are not always identifiable without additional intelligence, and funds can move across multiple addresses in very short periods. In this context, delayed or manual review processes are insufficient. By the time a compliance team flags a problematic wallet, funds have already moved.

For Perena, operating a yield-bearing digital dollar spread across 100,000+ wallets creates direct regulatory and operational risks. Each undetected interaction with a sanctioned or high-risk counterparty represents a potential exposure event.

Retrospective workflows also introduce scaling constraints. Manual review processes that function at smaller volumes begin to break down as usage grows. With tens of thousands of wallets and billions in transaction volume, these approaches become unsustainable.

The Shift: Risk evaluation embedded within the transaction flow

To address this, Perena replaced retrospective compliance workflows with Range’s real-time monitoring infrastructure. Instead of analyzing transactions after execution, risk is evaluated during the transaction lifecycle itself.

This shifts compliance from a delayed review process to a continuous, embedded control layer across all activity.

Range provides Perena with four core capabilities:

• Wallet screening using attribution and labeling data to identify counterparties before transactions are complete

• Real-time risk scoring that evaluates transactions during execution

• Continuous monitoring across all wallets and transaction activity on the platform

• Contextual enrichment that surfaces patterns and behaviors beyond rule-based checks

All capabilities are delivered via API, allowing Perena to integrate risk evaluation directly into its infrastructure and scale without increasing manual overhead.

How it works in practice

When a wallet interacts with Perena’s protocol, Range performs an immediate assessment.

The wallet address is checked against attribution and labeling datasets covering known entities, sanctioned addresses, and flagged wallets. At the same time, the transaction is assigned a real-time risk score based on wallet history, counterparty relationships, and transaction context.

High-risk activity triggers alerts that integrate directly into Perena’s internal workflows.

This is not a binary allow/block system. Range provides a graded risk framework, enabling Perena’s team to assess context and act accordingly. The same data feeds into investigation workflows when anomalies are detected, supporting faster and more accurate incident response.

Results: Compliance infrastructure that scales with usage

The integration provides Perena with a compliance infrastructure that operates at the same scale as its protocol:

• $2.1B+ in transaction volume monitored with real-time risk assessment

• 100,000+ wallets under continuous monitoring

• Risk is evaluated during transaction execution rather than post hoc

• Automated alerting integrated into internal workflows

• API-based infrastructure that scales with protocol growth

For a system handling billions in stablecoin volume, timing is critical. Detecting high-risk interactions during execution materially reduces exposure compared to identifying them after funds have moved.

Intelligence-driven AML and investigation capabilities

Effective AML requires more than screening individual transactions. It requires context - understanding how wallets behave, how funds move, and how different entities are connected.

Range provides this context through its intelligence layer, which enriches transactions with counterparty data, behavioral signals, and historical activity. This allows Perena to move beyond simple rule-based checks and apply more informed decision-making.

In practice, this enables:

• Better identification of high-risk counterparties

• Improved detection of suspicious transaction patterns

• Faster investigation of anomalous activity

• Clearer understanding of how funds move through the system

These intelligence capabilities are particularly important during incident response, where speed and accuracy are critical. By having access to our structured intelligence and monitoring data, Perena can investigate and respond to potential risks more effectively.

Building AML infrastructure for scalable onchain systems

As onchain platforms scale, AML requirements need to operate in real time and integrate directly into transaction systems. Monitoring, screening, and risk evaluation cannot rely on delayed or external processes.

This requires:

• Continuous monitoring of all transaction activity

• Real-time risk assessment before and during execution

• Policy enforcement across user and transaction workflows

By integrating Range, Perena has embedded these capabilities directly into its platform. Transactions are screened before execution, activity is monitored continuously, and risk signals are surfaced with full context, while maintaining structured data for compliance and reporting.

If you're building an onchain application and need to embed consistent oversight, transaction monitoring, and risk controls into your workflows, explore our API documentation or get in touch to see how we can support your token or operations.