usecase-trans
Solutions: AML (anti-money laundering)

Stop money mule operations in their tracks.
Stop fraudulent funds coming into your business.

AML transaction monitoring that combines Experian’s rich bureau data, your internal intelligence and Resistant AI's machine learning expertise to uncover more money mule networks and stop illicit funds entering your business.

5x
Analyst productivity
3x
Risk coverage
1/3
Alerts on same recall
Solutions: AML (anti-money laundering)
Stop money mule operations in their tracks.
Stop fraudulent funds coming into your business.
usecase-trans
5x
Analyst productivity
3x
Risk coverage
1/3
Alerts on same recall

AML transaction monitoring that combines Experian’s rich bureau data, your internal intelligence and Resistant AI's machine learning expertise to uncover more money mule networks and stop illicit funds entering your business.

Book a demo
Benefits

Expose money laundering networks with counterparty intelligence

Know who your customers are really transacting with. Counterparty intelligence adds context to every payment, so your AML team can spot mule activity and layering earlier and spend less time on false alerts.

Stop money mule operations.
Uncover the mule networks moving illicit funds through your customer base. Hold and investigate before the money moves on.
Overlay. Don't overhaul.
Boost your existing AML transaction monitoring, whether it's home-grown or from a vendor.
Stop illicit funds coming in from other financial institutions.
Spot suspicious inbound payments early, before they become a laundering problem for your business.
Fincrime typologies

AML defense regardless of financial crime typology

Criminals launder money in three stages: placement, layering, and integration. We catch the typologies behind each one, from smurfing to synthetic identities, without needing a separate rule for every scheme.

Placement

Structuring/"smurfing"

Money-mule/in-out turnover

Use of fraudulently obtained instruments

Crypto-to-fiat "ping-pong"

Layering

Split/merge chains

High-density new-account clusters

Trade-based ML/high risk merchants

Securities & FX mirror trading

Use of common addresses/identities

Casino/High-value cash businesses

Integration

Synthetic or stolen identities

Legitimate-looking payroll/vendor schemes

Resistant transactions

The performance of our solutions is driven by three things: a library of off-the-shelf models, the ability to build custom models around individual institutions' needs, and the ability to ensemble these models together for the best possible results.
Get in touch
Frequently asked questions AML FAQs Want to learn more about our AML solution? Here are some of the most frequently asked questions from around the web.
How does Resistant AI assist in detecting money laundering?
Resistant transactions helps anti-money laundering (AML) efforts by augmenting existing transaction monitoring systems with advanced AI capabilities. Our off-the-shelf models analyze transaction data in real time to identify suspicious activities and reduce false positives, enabling more efficient investigations.
How quickly can Resistant AI spot advanced fraud and money laundering behaviors?
The system is designed for rapid results, delivering detecting financial crime and suspicious behaviors in under 200 milliseconds.
Can Resistant AI integrate with existing AML workflows?
Yes. Resistant transactions offers flexible integration options via APIs, allowing seamless incorporation into existing transaction monitoring systems.
Who will this help at my company?

Resistant Transactions helps several roles in the AML use case:

  • AML analysts. Prioritize and investigate high-risk transactions faster with AI-powered alert scoring and contextual insights.

  • Compliance officers. Ensure adherence to evolving AML regulations by integrating AI-enhanced transaction monitoring that reduces false positives.

  • Fraud investigators. Detect complex laundering patterns and networks with AI-driven behavioral analysis and cross-transaction linkage.

  • Risk managers. Gain dynamic risk profiles that reflect real-time transactional behavior for improved risk assessment and mitigation.

  • Data scientists. Leverage rich anomaly detection models and data segmentation tools to refine monitoring rules and support ongoing model training.

  • Operations teams. Streamline workflow by automating alert triage and enabling faster resolution, improving operational efficiency.

  • IT and integration specialists. Seamlessly overlay Resistant AI’s solution onto existing transaction monitoring systems without major infrastructure changes.