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Fraud Screening

Fraud Screening Services

Real-Time Fraud Detection Without Losing Customers

Fraud screening tools should do more than just block risky transactions. They should protect your business without turning away genuine customers or slowing down existing checkout processes.

Our Fraud Screening Services are designed for ecommerce fraud prevention at scale, combining rules, data, and machine learning for transaction fraud in a way that is transparent, adaptive, and compliant.

  1. Reduce False Positives, Protect Conversion

    One of the most common concerns is how to reduce false positives while still blocking sophisticated attacks. We focus on:

    • Risk-based scoring rather than simple pass/fail rules – borderline cases can be stepped up for review or adaptive authentication for high-risk payments, instead of being declined outright.

    • Context-rich decisions – device data, behaviour patterns, account history, and transaction context are evaluated together, helping to distinguish unusual but genuine activity from real fraud attempts that threaten your business.

    • Continuous tuning – thresholds and rules are adjusted over time based on your chargeback data, approval rates, and feedback from your operations teams.

    The result: you lower fraud and chargeback rates without unnecessarily hurting conversion.

  2. Beyond Rules: Machine Learning for Transaction Fraud

    Fraud patterns evolve quickly, often faster than static rules can keep up. Our approach uses a hybrid technology mix:

    • Rules-based controls for clear-cut scenarios (for example, known blocklists, impossible geolocation combinations, repeated failed attempts).

    • Machine learning models for real-time fraud detection in complex or ambiguous cases.

    • Adaptive models that learn from decisions and outcomes, improving as more and more transactions are processed.

    This means we can identify emerging fraud patterns that do not yet exist in your historical data, helping you stay ahead of new attack methods and seasonal behaviour shifts.

  3. Transparent Decisions You Can Understand

    Fraud decisions should not feel like a black box. For every flagged transaction, we provide:

    • Clear explanations in plain language – highlighting the key signals that led to the decision (for example: unusual location, mismatched account details, abnormal order size).

    • Reason codes and evidence – so your teams can review, override, or refine rules as needed.

    • Configurable alerts and reporting – enabling you to see trends, investigate edge cases, and respond quickly to genuine customer issues.

    You stay in control of your risk appetite, with visibility into how decisions are made.

  4. Privacy, Security, and Regulatory Compliance

    Any effective ecommerce fraud prevention solution must respect customer privacy and regulatory requirements. Our Fraud Screening Services are designed with compliance in mind:

    • PCI DSS-aligned controls for handling and processing payment card data securely.

    • Support for GDPR and similar privacy regulations, including data minimisation, purpose limitation, and defined retention periods.

    • Encryption in transit and at rest, strict role-based access, and audit trails across our infrastructure and operating environments.

    We work with independent assessors where required, and we can support your own audits and risk assessments with documentation and evidence of our controls.

  5. Designed for Your Business Model

    Fraud looks different for each business. We take time to understand your products, customer journeys, and risk profile so we can:

    • Tailor rules and machine learning models to your sector and geographies.

    • Align decision thresholds with your appetite for risk versus conversion.

    • Integrate smoothly with your existing payment gateway, acquirers, and internal tools.

    Our aim is to give you fraud screening tools that feel like an extension of your own platform, not a rigid, one-size-fits-all system.

People Also Ask Us

How quickly can we see an impact on fraud and false positives?

Initial benefits are often visible within weeks, as baseline rules, risk scores, and real-time fraud detection are applied to your traffic. Over the following months, tuning and machine learning refinement help reduce false positives further and stabilise your fraud and chargeback rates.

Is the solution purely rules-based, or does it use AI?

We use a hybrid approach – combining clear, auditable rules with machine learning for transaction fraud. This mix gives you both explainability and the ability to detect new, complex patterns.

Can you explain why a specific transaction was flagged?

Yes. Each decision is accompanied by reason codes and human-readable explanations, so your operations, finance, or customer service teams can understand and, where appropriate, challenge or adjust the final outcome as needed and where appropriate.

How do you help lower chargeback rates?

We combine better upfront screening, post-transaction monitoring, and regular performance reviews. Together, we identify root causes, refine thresholds, and highlight where additional authentication or verification can meaningfully lower chargeback rates without damaging the customer experience offered.

What does implementation look like?

We offer a structured onboarding process, including data mapping, configuration workshops, testing, and phased rollout. Throughout, our team works with your technical and business stakeholders to minimise disruption and ensure that the service aligns with your internal organisational policies and regulatory obligations.

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