Intelligent Fraud Detection & Prevention
Real-time Agentic AI that identifies and stops fraud before it happens.
The Challenge
Financial institutions face an ever-evolving fraud landscape — account takeovers, synthetic identity fraud, card-not-present attacks, and insider threats. Rule-based detection systems generate excessive false positives (frustrating genuine customers) while missing novel fraud vectors. The cost is measured not just in financial losses, but in customer trust and regulatory scrutiny.
The Quapt Agentic AI Solution
QUAPT deploys a multi-agent fraud intelligence architecture where specialized AI agents monitor transaction streams in real time, profile behavioural baselines, detect anomalous deviations using ensemble ML models, and autonomously trigger risk-proportionate responses — from step-up authentication to transaction blocking — all within milliseconds. The system continuously learns from new fraud signals without requiring manual rule updates.
Key AI Capabilities
- Real-time transaction monitoring across all channels (card, ACH, wire, mobile)
- Behavioural biometrics and device intelligence integration
- Multi-model ensemble reasoning: ML + LLM + graph neural networks
- Autonomous case creation and triage for human review queues
- Adaptive model retraining on emerging fraud patterns
- Explainable AI outputs for regulatory and audit requirements
- Integration with core banking, card management, and AML systems
92%
Fraud Detection Rate
67%
Reduction in False Positives
<50ms
Decision Latency
4.2x
ROI in Year One
Business Outcomes
- Significant reduction in fraud losses across card, ACH, and digital channels
- Improved customer experience through fewer false positive declines
- Reduced manual review workload for fraud operations teams
- Faster regulatory response with audit-ready decision explanations
- Competitive advantage through superior fraud prevention capabilities
- Scalable architecture that handles transaction volume spikes without degradation
