The AI overlay your existing transaction monitoring system is begging for
Resistant Transactions helps you catch more fraud and money laundering behaviors with less — without replacing your tech stack.
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The AI overlay your existing transaction monitoring system is begging for
Resistant Transactions helps you catch more fraud and money laundering behaviors with less — without replacing your tech stack.
One AI engine for your three biggest risk areas
Massive excel sheets of conflicting rules. Analysts burning out on false alerts. Siloed signals across fraud and compliance teams. Sound familiar? The problem isn’t your case management. It’s the engine. Don’t rip and replace your transaction monitoring stack — improve it.



AI models adapted to your risk profile — right off the shelf
Deploying our models in your risk environment takes days, not months, so you can move at your own pace, augmenting or replacing your existing rules one risk typology at a time as you get comfortable with the results.
AI risk coverage tailored to your profile...
Deploy supervised models trained on your transactional data, the risks in your portfolio, and your concrete risk profiles and appetite.
...And to the evolving global landscape
Avoid the overfitting trap. Deploy unsupervised models covering defined typologies, anomaly-driven detections, behavioral segmentation, and more...
Transparency in every decision
Explainability that isn’t just for regulators, but empowers you to communicate to your board, your teams, and gives you the feedback loop you need to keep improving your processes.
Leverage signals from across your risk stack
Take a holistic approach to risk by analyzing your transactions in the context of the identity, behavioral, device, and document signals you’re collecting...

Resistant AI has helped us to drastically reduce both the time it takes to catch fraud, and the amount of fraud that makes it past us to lenders.
- Ryan Edmeades MLRO and head of financial crime![]()

Resistant AI has significantly helped prevent specific types of credit fraud, and enhances our ability to defend against document fraud attacks.
- Petr Volevecký Head of Credit Fraud Risk![]()

Probably the best tool in our review flow. Resistant are our bionic eyes.
- Katarina Demchuk Identity Verification PM![]()

Resistant AI perfectly complement FINOM's AML and Anti-Fraud program with its explainable AI, ensuring transparency to AML analysts as well as the regulator.
- Sergey Petrov Co-founder, COO![]()

With Resistant AI, we can manage our known risks more efficiently while also identifying and adapting to previously unknown risks.
- Valentina Butera Head of AML & AFC Operations![]()

Resistant AI prevents the manipulation of invoices submitted to our marketplace. It allows out investors to trade in security and saves my team a huge amount of manual work.
- Alexandra Belková Head of Operations![]()
Anomaly detection driven by the most powerful AI & ML techniques
Hyper-graphing
Maps money flow patterns to uncover complex laundering schemes and fraud rings.
Behavioral segmentation
Separate behavioral models for different user segments ensure accurate detection with low FPs.
Unexpected distributions
Identifies statistical outliers and unexpected clustering that signal coordinated fraud.
Transaction sequencing
Monitors transaction patterns over time to detect velocity attacks and testing
Model self-tuning
Automatically incorporates analyst feedback to continuously improve accuracy
Threat propagation
Instantly traces and scores connected accounts when fraud is detected
Supervised classifiers
Deploy supervised AI models trained on your own fraud and fincrime data.
Scenario-Specific Models
Targeted detection for known fraud types and money laundering methods learned from all our customers.
Identity clustering
Link related accounts and transactions to expose fraud rings operating under multiple identities.
Contextual Risk Scoring
Enriches each transaction with patterns from related activity for deeper insight.
Global Threat Intelligence
Leverages aggregated risk data including crime statistics, country risks, and population-level patterns.
AI-powered transaction monitoring built for fraud and compliance teams
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