- Real-time wallet screening checks every address against sanctions, illicit-fund, and mixer-interaction signals the instant it interacts with a payment, not on a periodic compliance cycle.
- Screening traces both direct exposure and multi-hop indirect exposure, so funds routed through an intermediary wallet before arriving still surface as risk.
- Configurable thresholds by jurisdiction, hop distance, and value let the same engine approve, flag, freeze, or return funds automatically.
For institutions, the gap between static and real-time screening is the risk. A static blacklist only flags a wallet after an analyst manually confirms exposure, often days after the activity happened, and every transaction that moves through that wallet in the meantime inherits risk no list will show yet. Zebec Network runs real-time screening across every payroll, card, and onboarding flow on its platform, and Crown runs it across BRLV stablecoin issuance and settlement, both using Hypernative's Screening & Intelligence engine.
How does real-time screening differ from traditional AML tools?
Traditional AML screening treats wallet risk as a static, periodic check. Real-time screening treats it as a continuous one, evaluated against live sanctions and exposure data every time a wallet moves funds. The distinction shows up in four places:
- Update speed. Traditional tools update on a fixed review cycle, so a wallet is only labeled once an analyst confirms new exposure, often days after the activity happened. Real-time screening checks every wallet against current sanctions and exposure data the moment it transacts.
- Exposure depth. Traditional screening typically flags only direct hits against a sanctioned address. Real-time screening also traces multi-hop indirect exposure, so a wallet that received funds two or three hops downstream from a sanctioned source still surfaces as risk.
- Check frequency. Traditional AML programs check a wallet once, usually at onboarding, then rely on periodic reviews to catch anything that changes afterward. Real-time screening evaluates every subsequent transaction, not just the first one.
- Response. Traditional tools generate an alert for a compliance team to triage manually. Real-time screening applies configurable thresholds by jurisdiction, hop distance, and value to route each flagged wallet to an automated response: approve, flag, freeze, or return.
Crown, the largest stablecoin issuer in emerging markets, built its BRLV token to be fully backed by Brazilian government bonds and to grant holders a legal claim over its reserve assets. Crown uses Hypernative's Screening & Intelligence engine to enforce the real-time standard above in place of the periodic one it replaces.
We cannot allow funds from sanctioned or high-risk sources to enter our ecosystem. We're building the most secure and reliable stablecoin in the world, designed to serve financial institutions and institutional partners with the highest standards of compliance.
John Delaney, co-founder and CEO @ Crown
Crown's deployment evaluates indirect exposure alongside direct exposure, giving its compliance team a live picture of counterparty risk rather than a snapshot taken when an account was opened.
How does continuous screening work across onboarding, payments, and withdrawals?
Zebec Network, a blockchain-powered payroll, card, and payments platform, uses Hypernative's Screening & Intelligence engine to apply continuous screening across every stage of its product. Every wallet connection, payroll withdrawal, and card-related transfer is evaluated instantly rather than checked once and assumed safe going forward.
Staying current with evolving regulatory expectations requires continuous monitoring and adaptable controls. Hypernative's added capability strengthens our compliance framework today and is built to support responsible scale over time.
Simon Babakhani, CEO @ Zebec
That continuous model matters most for compliance officers and heads of risk managing treasury operations that touch many counterparties in a single day, where a single stale check at onboarding cannot account for exposure that develops afterward.
How do institutions enforce sanctions policy without freezing legitimate payments?
A screening system that treats every flagged address the same way, freezing them all pending manual review, becomes a bottleneck the moment volume grows. Institutions need the ability to distinguish a low-risk indirect touchpoint from a direct hit on a sanctioned entity, and to route each case to the right response automatically.
Both deployments are built around configurable policy rather than a single fixed rule. Crown set thresholds aligned with its own internal policies for accepting, flagging, freezing, or returning funds, giving its compliance and treasury teams a consistent, transparent vetting process across payment, treasury, and stablecoin workflows. Zebec applies default AML and sanctions rules as a baseline, then layers in tailored regional thresholds as it expands into new jurisdictions, since regulatory expectations for a payroll platform in one market differ from another.
Gal Sagie, co-founder and CEO at Hypernative, described the approach as built for scale rather than a fixed checklist: "Real-time payments deserve real-time compliance. Our role is to give institutions the immediate wallet risk checks and flexible controls needed to support that adoption safely."
For institutional DeFi allocators and treasury operations teams evaluating a compliance stack, the practical difference shows up in regulatory reporting. A configurable, exposure-based system produces an audit trail that maps directly to jurisdictional requirements, rather than a binary allow or deny decision that has to be manually reconciled with local rules after the fact.
What should financial institutions look for in a wallet screening platform?
- Update speed against new designations. A system should reflect newly sanctioned entities and newly implicated addresses within the same block window they emerge in, not after a multi-day lag while a provider manually confirms and labels the address.
- Multi-hop exposure tracing. Direct interaction with a sanctioned address is the easy case. The harder, more common case is indirect exposure two or three hops away, and a screening system that only checks direct hits will miss it.
- Configurable thresholds, not fixed rules. Risk appetite, jurisdiction, and hop distance all vary by institution and by market. A one-size-fits-all rule set forces a choice between over-blocking legitimate activity and under-screening real risk.
- Automated response, not just alerts. A flagged address needs a defined next action, whether that's automatic denial, escalation for review, or a fund freeze, rather than a queue of alerts a compliance team has to triage manually.
- Cross-chain coverage. Illicit funds routinely move across bridges specifically to break a screening trail. A system that only screens within a single chain leaves that exact path open.
Explore Hypernative for financial institutions, reach out for a demo of our solutions, tune into Hypernative’s blog and our social channels to keep up with the latest on cybersecurity in Web3.
Proactive security for onchain finance.
