Transaction Monitoring

Monitor transactions in real time using rules-based and AI risk scoring. Access 900+ fraud signals, including unique device and behavioral data and create advanced velocity rules that analyze these signals plus your custom data in real time, not batch.

Detect Fraud and Risk at Speed

  • Get two transparent risk scores per transaction: rules-based and AI. Analyze behavioral, device and transaction data in real time using velocity checks and anomaly detection.
  • Apply AI-generated insights to your detection rules to improve precision and efficiency
  • Use AI to build rules aligned with your business logic and add custom fields into your rule logic, so you analyze the exact data points that matter.
Real-time transaction monitoring flagging fraud from new device and password change.
Real-time transaction monitoring showing high fraud score from mismatched details.

Optimize Your Risk Management

  • Evaluate risk more accurately by connecting the dots between digital footprint analysis, device intelligence and network transaction history
  • Reduce false positives and improve detection accuracy by implementing custom rules
  • Reduce manual review workloads and costs by automating risk assessments using AI-driven insights

Uphold Compliance With Ease

  • Maintain regulatory compliance with real-time AML screening and transaction monitoring
  • Detect suspicious patterns and behavior quickly with advanced velocity rules analysis
  • Prevent illegal activities with continuous screening against sanctions and watchlists
Real-time transaction monitoring blocking customer with AML compliance flags.

Discover How Companies Win

“It is a flexible tool that helps us track possible money laundering activity with features that are highly customisable and help a lot with automation. The high number of sources that the feature has allows analysts to consider their decisions from different perspectives. This allows the relevant teams to further their knowledge of the customers and for the company to stay compliant.”

Márton Hajagos

“SEON shows you how much fraud is on the market, and with their help, you can reduce it. Working in real time is a key difference, and to top it off, the customer support is excellent; getting an answer very quickly, in easy-to-understand terms with examples – this is what I expect from a solution.”

Joeran Kiencke

FAQ

What are transaction monitoring services?

Transaction monitoring services continuously analyze financial transactions in real time to detect fraud, money laundering and other suspicious activity. They use rules, AI models and contextual data signals to score each transaction and flag high-risk events for review or automated action.

How does real-time transaction monitoring differ from batch monitoring?

Batch monitoring processes transactions at scheduled intervals, often at the end of the day or at the end of the month. Real-time transaction monitoring evaluates each transaction as it occurs, enabling faster detection, faster investigation and faster response. In instant payment environments, real-time monitoring is increasingly considered essential.

What types of fraud can transaction monitoring detect?

Transaction monitoring services detect payment fraud, card fraud, authorized push payment fraud, account takeover, money mule activity, structuring, layering and other suspicious transaction patterns. Detection breadth depends on the signals and rules the platform uses.

How quickly can SEON’s transaction monitoring be implemented?

You can quickly turn on transaction monitoring for fraud and AML using a single API and most organizations go live within 14 days. You’ll get immediate access to our full suite of fraud signals and a rule library. From there, our implementation team works with you to configure best-practice rules based on your business; no engineering support is needed for rule creation or updates.