Real-time risk & fraud
Fraud detected a minute too late is fraud that has already succeeded.
Financial fraud moves in milliseconds. The window between a suspicious transaction occurring and the moment it can be stopped is measured in fractions of a second and any architecture that processes data in batches, or introduces latency between detection and response, has already lost that window. The organisations winning on fraud are those that have built data infrastructure fast enough to match the speed of the threat.
The same logic applies to credit risk, anti-money laundering, regulatory reporting, and real-time payments. In each case, the underlying requirement is identical: data that flows continuously, analytics that run on live information, and the ability to act the moment a pattern emerges. Dot Group builds the data architecture that makes this possible across organisations that need to scale from thousands of transactions per second to millions.
The real-time fraud detection architecture
Effective fraud detection at enterprise scale requires two things working in concert: a streaming pipeline that ingests transaction data continuously from every source, and a database platform that can run complex analytical queries against live and historical data simultaneously.
We build this architecture using Confluent for the streaming backbone and SingleStore for the analytical database layer. Confluent captures transaction events from every channel the moment they occur; SingleStore processes them at sub-second latency, running pattern matching and anomaly detection across millions of accounts simultaneously.
Risk management at scale
Real-time risk management extends well beyond fraud detection. Credit risk assessment, counterparty exposure, market risk monitoring, and liquidity management all benefit from data that reflects the current state of the business rather than where it was hours ago.
SingleStore’s ability to handle both transactional writes and complex analytical reads on the same data simultaneously makes it well-suited to risk workloads where the requirement is not just fast query response but the ability to run sophisticated models across datasets that are being continuously updated.
Regulatory reporting without the scramble
Regulatory reporting in financial services has historically been a batch-driven, end-of-day or end-of-quarter process, pulling data from multiple systems, reconciling inconsistencies, and producing reports that reflect a moment in time rather than the current state.
A real-time data architecture built on Confluent and SingleStore – governed by IBM Guardium and IBM watsonx.data intelligence – produces the audit trail and data lineage that regulatory reporting requires as a by-product of normal operations, rather than a separate exercise.
The Dot Group Advantage
Financial services is one of Dot Group’s strongest sectors and real-time risk and fraud is where our data architecture expertise and the IBM and SingleStore technology portfolio intersect most powerfully. We have delivered risk data platforms for clients who needed to move from batch-based detection to real-time, and we understand both the technical requirements and the compliance considerations that financial services organisations cannot afford to get wrong.
Our engagements include the full stack: streaming architecture, database platform, governance layer, and the transition support for the teams whose operations change as a result.
Learn more about data estate modernisation >
If your fraud detection or risk systems are running on data that is minutes or hours old, the exposure is real.
Talk to us about what a real-time risk architecture would look like for your organisation… and how quickly it could be in place.