Transaction Monitoring
Services

"SEON is a perfect tool as everything can be found in one place. I can't imagine a day working without it. SEON saves me a lot of time and effort."

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Protect honest customers, stop fraudsters, stay compliant

Financial institutions have to monitor transactions as part of their anti-money laundering efforts. But you can use the same tools to catch strange behavior, block suspicious interactions and protect customer funds in the event of unauthorized access to an account on any platform. Avoid unauthorized withdrawal of funds, spot strange user behavior and block fraudulent orders.

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Screen transactions with easy-to-create rulesScreen transactions with easy-to-create rules

Screen transactions with easy-to-create rules

Create custom rules easily to monitor suspicious transactions in SEON's rule engine. Open our Admin Panel to define no-code rules on the fly and test them in a sandbox or against recent transactions. Set up simple rules that trigger based on transaction amount, or comprehensive velocity rules that monitor suspicious user behavior.

Lock down suspicious activity with machine learningLock down suspicious activity with machine learning

Lock down suspicious activity with machine learning

Stay in control while benefitting from the speed, flexibility, and transparency of SEON's machine learning tools. Use our whitebox model to recommend rules that block suspicious activity based on your transaction history. Roll out another layer of anti-fraud defense with our blackbox algorithm and catch fraud that human eyes won't spot easily with explainable decision-making.

Improve compliance with AML screeningImprove compliance with AML screening

Improve compliance with AML screening

Augment automated transaction monitoring with SEON's AML screening tool to maintain compliance. Monitor PEP & RCA, sanctions, crime and watch lists to block sanctioned and high-risk customers. Create rules based on AML screening results to make SEON your central anti-fincrime solution.

Transaction
monitoring

Transaction monitoring is a key part of the anti-money laundering (AML) process. SEON has key features you need to actively log, flag and even block suspicious transactions and users, and work towards compliance.

Create risk rules to instantly mark transactions from sanctioned countries or those that go over the AML monitoring threshold. You can even look at sudden increases in spending, or overly regular deposits that could indicate illegal activity.

Our reporting function makes it easier to capture extra data in order to create suspicious activity reports (SARs). Best of all, SEON’s machine learning algorithm can even suggest better AML transaction monitoring to improve your compliance in the long run.

Combined with our AML screening tool, SEON gives you a sophisticated compliance toolkit designed to prevent fines, meet regulatory requirements, and generally run safer operations online – regardless of your vertical.

FAQ

What kind of transaction monitoring does SEON offer?

SEON lets you create AML rules designed to flag transactions whose IP addresses are in sanctioned countries. You can also deploy velocity checks to identify sudden increases in the amount or frequency of transactions. Transactions going over the AML threshold can automatically be logged for manual review or SARs, per your requirements.

How should I deploy SEON for transaction monitoring?

While SEON’s data enrichment modules are available independently, you’ll need the full Fraud API to benefit from custom risk-scoring features. It’s the risk-scoring engine that looks at transaction and user data in order to automatically classify the actions as low, medium, or high-risk.

Does SEON offer other AML features?

Yes. Our AML screening tool is designed to check user identities against PEP, sanctions, crime, and watchlists. It is the ideal solution to augment your AML compliance or to combine it with KYC.

Where can I find more information about transaction monitoring?

You can learn more about how SEON works in our Knowledge Base. Here is a guide too about transaction monitoring software.
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"With SEON, I can see that the address has been around since 2012 because it appeared in data breaches. I can see it’s been registered on these 15 other social websites. From then I can just manually match the relevant information to make my case. Working with more accurate data allows me and my team to move faster – and with minimum user friction. Whereas the team had to wait hours or days to verify someone’s payment, SEON allows them to do it in 30 mins or less."
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Rick Hiltbrunner
Senior Manager of Fraud Operations
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"As soon as our staff used SEON on a regular basis, they could see its value. It immediately started saving them time as they didn’t have to trawl through the usual checkpoints. So much so, that the time spent by Air France analysts on manual reviews is down by an impressive 70%. Instead, all the information they needed was on one screen with a simple scoring system enabling them to see if a transaction was real or not."
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Eric Facquet
Deputy Manager of Fraud Prevention
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"The most useful thing for us was to be able to see if the email and phone numbers weren’t registered anywhere. We also rely on the device fingerprinting metadata in our scorecard to filter out junk users. We immediately saved about 6% of costs on our automated KYC checks. After only 2 months, we started seeing impressive results. Up to 3 times fewer cases of defaulting customers in new regions such as Romania and Europe. 4 months later, the fraud rates dropped by over 65%."
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Sergey Bogdanov
Chief Risk Officer
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"We were looking at another provider, but they came back to us with a 4-6 months integration window. With SEON, it was literally a phone call, sandbox tests on Monday and by the end of the week, it was done. One other thing I’d like to comment on is the pricing model. It’s really 2022, like for scaling together. The SEON model, it’s now one we actively look for with our other partners. Clearly an organization that approaches work and its customers in a different way."
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Coert Snyman
Senior Analyst
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"I tested some extra rules, and over a few months I managed to push SEON’s auto approval from an initial accuracy of 95% unto 99.5%. Taking the time to update your SEON rules is an investment that gives great results. And the best thing is that we can do so without deploying any software. From an engineering perspective, it is extremely time and resource saving, allowing us to react much faster."
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Phillipp Keller
Senior Product Manager
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"I couldn’t believe how fast the results came,” says Gergely. “Our chargeback rates dropped by 91% in one month only.” Moreover, the number of manual queries and fraud catch rates continued to improve after the initial 30 days as the system adjusted itself – part of the benefits of deploying a machine-learning algorithm to fine-tune accuracy."
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Gergely Kálmán
CEO
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"SEON allows us to stay one step ahead as by keeping advantage players at bay we are able to continue offering competitive bonuses with low wagering requirements to our players,” Daniel says. “And the fact that SEON team are so open to feedback and implement the feedback quickly gives us as their client a significant advantage which we couldn’t find with other competitors in their field."
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Daniel Saliba
Head of Compliance
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"It wasn’t just the technology that’s great though, the education side of things helped us understand the types of tactics and patterns used by fraudsters and put rules into place to prevent them."
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Stacey Pickering
Head of Operations
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"We deployed SEON both on our website and web app to gather device data as well as IP and email information. It was unbelievably fast, both in terms of integration and results. In 4 days only, our fraud rates were pretty much down to 0."
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Lewis Bye
Senior Projects and Operations Specialist
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"We overlay SEON’s digital and social lookup with device fingerprinting to get a good indication of whether the phone or tablet belongs to the actual client. We can instantly filter out obvious fraudsters with no digital or social presence, and we get better intelligence to automate our decision making."
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Juris Rieksts-Riekstinš
Head of Risk

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Transaction Monitoring

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