Resistant AI transaction monitoring with Experian data

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.

Boost your existing TM system with Resistant AI and Experian: Resistant Transactions paired with Experian data helps catch more fraud with greater accuracy and identify criminals before they reach your customers (all 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

Resistant AI transaction monitoring with Experian data

80+

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

Analyst productivity

Risk coverage

<100

Millisecond real-time response rate

Book a demo

Join the leaders already making their transactions Resistant to fraud

Identify risky transactions before the money moves

Use Experian's extensive knowledge networks to assess existing customers, receiving accounts, and new payees for red flags before a transaction even happens.

Catch 200% more fraud with 80% less false alerts

Compliance and fraud teams can have their workload cut in half while catching more fraud in the process, resulting in less friction and happier customers.

Make defensible, auditable transaction decisions

Enhance explainability and back decisions with accurate, data-backed rationale for every block or warning.

Detect criminals within your system

Spot discrepancies between an account’s stated purpose and the nature of the counterparties it transacts with.

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 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...

Probably the best tool in our review flow. Resistant AI 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

Graph-based techniques

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.

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APP Fraud

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

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BNPL

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

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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."

Kseniia Kutyreva Head of Risk & Compliance, Finom

Clients

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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.

Resistant AI transaction monitoring with Experian data

Leverage Experian data to get total counterparty clarity on each transaction

One AI engine for your two biggest risk areas

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

Anomaly detection driven by the most powerful AI & ML techniques

Graph-based techniques

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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Upgrade your TM system today