The AI overlay your existing transaction monitoring system is begging for

Q: What is AI-powered transaction monitoring?

AI-powered transaction monitoring uses machine learning to analyze transactions in real time, identifying suspicious patterns and reducing false positives compared to traditional rule-based systems.

Q: How does this improve my rules-based transaction monitoring systems?

Resistant Transactions helps you catch novel and rule-evading risks, while prioritizing and contextualizing your existing detections. This means faster, more productive investigations, and greater risk coverage.

Q: How does your solution help meet regulatory requirements?

Every Resistant Transaction detection includes clear contextual explanations and increases risk coverage in an adaptive way. Our greater transparency and increased efficacy have been universally welcomed by regulators.

80+

Off-the-shelf models designed by AI scientists and fincrime experts

Analyst productivity

Risk coverage

<100

Millisecond real-time response rate

Resistant Transactions helps you catch more fraud and money laundering behaviors with less — without replacing your tech stack.

Book a demo

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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.

80+

Off-the-shelf models designed by AI scientists and fincrime experts

Analyst productivity

Risk coverage

<100

Millisecond real-time response rate

Join the leaders already making their transactions Resistant to fraud

Real-time fraud prevention Protect your customers from scams and root out scammers in your customer base with coverage of both outbound and inbound fraud typologies.

Advanced AML Detections Transition from ineffective rules to ensembles of specialized behavioral and anomaly detection models — typology by typology — and flip your FP/TP ratios around.

Alert Prioritization Categorize, prioritize, and contextualize all of your alerts to focus senior analysts on your biggest risks, and give junior analysts a leg up on clearing your backlog.

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

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.

AML

Boost AML risk coverage with AI that triples risk visibility and slashes alert fatigue.

Learn more

APP Fraud

Stop scams in real time with AI that detects mule accounts, fake payees, and risky transactions.

Learn more

BNPL

Detect synthetic identities, and risky behaviors, and other frauds before approval not after default.

Learn more

Upgrade your TM system today

80+ off-the-shelf models to tackle fraud and AML 3x risk coverage 5x AML analyst productivity 50ms or less to detect advanced evasive criminal behavior

"The time and effort required to go from idea to deployment of a new detector is much shorter than with other vendors."

Kseniaa Kutyreva Head of Risk & Compliance, Finom

Clients

Book time with our experts

module Transaction monitoring software FAQ Everything you ever wanted to know about Resistant Transactions (but were afraid to ask).

What is AI-powered transaction monitoring?

AI-powered transaction monitoring uses machine learning to analyze transactions in real time, identifying suspicious patterns and reducing false positives compared to traditional rule-based systems.

How does this improve my rules-based transaction monitoring systems?

Resistant Transactions helps you catch novel and rule-evading risks, while prioritizing and contextualizing your existing detections. This means faster, more productive investigations, and greater risk coverage.

How does your solution help meet regulatory requirements?

Every Resistant Transaction detection includes clear contextual explanations and increases risk coverage in an adaptive way. Our greater transparency and increased efficacy have been universally welcomed by regulators.

The AI overlay your existing transaction monitoring system is begging for

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Structure

Canvas

Animation

Style

Trigger (Stretch)

Text

Global

The AI overlay your existing transaction monitoring system is begging for

One AI engine for your three biggest risk areas

AI models adapted to your risk profile — right off the shelf

Anomaly detection driven by the most powerful AI & ML techniques

Hyper-graphing

Behavioral segmentation

Unexpected distributions

Transaction sequencing

Model self-tuning

Threat propagation

Supervised classifiers

Scenario-Specific Models

Identity clustering

Contextual Risk Scoring

Global Threat Intelligence

AI-powered transaction monitoring built for fraud and compliance teams

Make your transactions Resistant today!

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