Our consultants work closely with your team to understand your business processes, data sources, and transaction patterns. Armed with this knowledge, we will help you optimise your fraud analysis workflows to improve detection of potential threats while minimising false positives.
Depending on your needs, fraud analysis workflows consulting can include:
- Data enrichment. Incorporating additional data sources and enrichment tools to enhance the depth and quality of data used in the analysis. This can include external data feeds, social media data, and device reputation data to gain a more holistic view of user behaviour and fraud signals.
- Real-time monitoring and alerting. We can assist you with designing real-time monitoring workflows for fraud analysis. Real-time alerts can minimise fraud losses by enabling a faster response.
- Machine learning and AI. We can help you leverage machine learning and artificial intelligence tooling to improve the accuracy of automated fraud detection.
- Behavioural analytics and fingerprinting. Identify suspicious behaviour by collecting automated signals from your user's browser and activity.
- Improve fraud rules. We can audit and improve your rule-based systems to more accurately identify fraud and reduce false positives.
- Develop bespoke risk-scoring models. We can assist with developing bespoke risk scoring models that adapt to changing fraud patterns and can be fine-tuned based on feedback from investigations and outcomes.