XBase Transaction Monitoring
Monitoring financial activity against risk scenarios
Transaction monitoring with a rule engine, scenario and threshold management, real-time alerts, behaviour analysis and an investigation workflow.
- 01Ingestion layerAPI and event stream connectors, schema validation and normalisation.
- 02Enrichment serviceAttaches customer, account and counterparty context.
- 03Scenario engineRule evaluation, behaviour models and scoring.
- 04Alert and case serviceAlert generation, prioritisation and case lifecycle.
- 05ReportingOperational dashboards and regulatory reports.
Product Overview
Transaction Monitoring
What it is
XBase Transaction Monitoring evaluates financial transactions against defined risk scenarios and behaviour models, in real time or in batch; it turns suspicious activity into alerts and alerts into investigable cases.
The problem it solves
The difficulty in transaction monitoring is not writing rules but calibrating them to customer segment, history and context, and keeping the compliance team focused on the alerts that genuinely need review. The system keeps scenarios versioned and testable; for every alert, the rule and data that produced it are visible.
Who it is for
Built for banks, payment and e-money institutions, crypto asset platforms and any organisation with suspicious activity reporting obligations.
Core Features
Core Features
Rule Engine
Amount, frequency, geography, counterparty and time-based rules; compound conditions.
Scenario Management
Structuring, smurfing, rapid movement and similar scenarios; versioning and back-testing.
Threshold Management
Segment-based thresholds; simulate the impact of changes before release.
Real-Time Alerts
Instant evaluation on the transaction stream; hold decisions where required.
Behaviour Analysis
Deviation detection against the customer's own history and peer group.
Case Management
Alerts become cases with assignment, decision and rationale.
Investigation Workflow
Evidence collection, notes, attachments and suspicious activity report preparation.
Reporting
Alert volume, conversion rate, scenario performance and regulatory reports.
Modules
- Rule Engine
- Scenario Management
- Threshold Management
- Real-Time Alerts
- Behavior Analysis
- Case Management
- Investigation Workflow
- Reporting
How It Works
How It Works
- 01
Ingestion
Transactions enter via API or event stream and are normalised.
- 02
Enrichment
Customer profile, risk level, history and counterparty information are attached.
- 03
Evaluation
Scenarios and behaviour models score the transaction; an alert is raised above threshold.
- 04
Investigation
The alert is prioritised, assigned to an analyst and investigated within a case.
- 05
Decision and reporting
The case is closed or a suspicious activity report is prepared; the outcome is recorded.
Architecture
Architecture
The system is built on stream processing: transactions are consumed from the event stream, enriched and passed through the scenario engine. Scenarios and thresholds are versioned as configuration; any alert can be reproduced with the scenario version in force when it was raised.
- 01Ingestion layerAPI and event stream connectors, schema validation and normalisation.
- 02Enrichment serviceAttaches customer, account and counterparty context.
- 03Scenario engineRule evaluation, behaviour models and scoring.
- 04Alert and case serviceAlert generation, prioritisation and case lifecycle.
- 05ReportingOperational dashboards and regulatory reports.
- 01
Ingestion layer
API and event stream connectors, schema validation and normalisation.
- 02
Enrichment service
Attaches customer, account and counterparty context.
- 03
Scenario engine
Rule evaluation, behaviour models and scoring.
- 04
Alert and case service
Alert generation, prioritisation and case lifecycle.
- 05
Reporting
Operational dashboards and regulatory reports.
Technologies
- Node.js
- TypeScript
- Go
- PostgreSQL
- Redis
- Kafka
- Kubernetes
Integration
Integration
REST API
Versioned, documented endpoints.
Webhook
Event-based, signed notifications.
Security
Security
Encryption
Transaction and customer data encrypted in transit and at rest.
Access control
Analyst, supervisor and administrator roles; four-eyes on case decisions.
Audit logging
Scenario changes, alerts and decisions are recorded immutably.
Monitoring
Dashboards for stream latency, alert volume and scenario health.
Use Cases
Use Cases
Payment institution monitoring
Real-time scenario evaluation over a high-volume transfer stream.
Crypto platform fiat and crypto flows
Deposits, withdrawals and trading behaviour monitored together.
Bank suspicious activity reporting
A traceable investigation process from alert to report.
Deployment
Deployment
- Cloud
- Private Cloud
- On-Premise
- Hybrid
Let's talk about Transaction Monitoring
For a demo, technical depth or pricing, talk directly to our engineering team.