Proactively prevent fraud before it affects the bottom line.
Multi-layer AI fraud intelligence, analyst-grade analysis workflows, and regulator-ready reporting for banks and microfinance institutions across East Africa.
Built for institutions across
Fraud is quicker than the available controls
Losses often surface long after funds have already been utilized.
Average detection time without automated monitoring
Delayed detection increases financial and evidentiary loss.
Losses associated with internal fraud and collusion
Access-based fraud requires behavior-aware monitoring.
False-positive rate in untuned systems
Noise burns analyst time and masks critical alerts.
Nine capabilities in one investigation environment
Detection, AI-powered scoring, autonomous agents, natural language Copilot, and reporting — connected in a single workflow.
Transaction Monitoring
Every transaction is analyzed in real time against threshold, velocity, and behavior controls.
Rule Engine
Create, test, and deploy fraud rules without waiting for engineering cycles.
Entity Intelligence Registry
A persistent registry of known fraudulent entities — accounts, devices, SIMs, IDs — checked in real time on every transaction. Cross-institution attribution so one confirmed fraud protects every institution on the platform.
Case Management
Structured workflows from alert triage through closure with full analyst attribution.
SIEM Integration
Structured event output for Splunk, Wazuh, Elastic, and QRadar.
Audit Trail and Forensics
Immutable activity records for investigation, legal process, and regulator review.
Regulatory Reporting
Submission-ready case and escalation reporting for supervisory requirements.
AI Risk Scoring Engine
Composite 0–100 risk score from concurrent behavioral signals, trained ML classifiers, and fraud network graph analysis — ALLOW/REVIEW/BLOCK in milliseconds.
Autonomous Investigation Agents
Six AI agents on demand: investigation briefs, rule optimization, insider threat, SAR drafting, executive reporting, and alert triage.
Alert Analysis Copilot
Natural language interface for analysts to query transactions, alerts, cases, and network relationships — no SQL required.
From transaction to closed case
A structured workflow that shortens investigation time and strengthens audit posture.
Ingest
Transactions enter through API or batch channels
Score
Risk scored across behavioral signals, trained ML classifiers, and fraud network graph analysis
Alert
High-risk activity is routed for analyst review
Investigate
Evidence captured, linked, and escalated when needed
Report
Cases are closed with full reporting and audit trace
Ingest
Transactions enter through API or batch channels
Score
Risk scored across behavioral signals, trained ML classifiers, and fraud network graph analysis
Alert
High-risk activity is routed for analyst review
Investigate
Evidence captured, linked, and escalated when needed
Report
Cases are closed with full reporting and audit trace
Three layers of AI, all live in production
Real-time multi-dimensional scoring, autonomous investigation agents, and a natural language Alert Analysis Copilot — not a roadmap, the current state of the platform.
Behavioral & Device Intelligence
Off-hours activity, velocity spikes, dormant account reactivation, session interaction patterns, and device fingerprint anomalies — scored concurrently against per-account baselines.
Trained ML Classifiers — Live Today
A supervised fraud classifier trained on analyst-labeled outcomes, plus a per-account behavioral anomaly model, both contribute to the composite score on every transaction.
Fraud Network Graph Analysis
Fraud ring membership, mule account patterns, insider-account linkages, and multi-hop fund tracing run in parallel with behavioral scoring — catching coordinated fraud invisible in individual account data.
Financial Crime Pattern Detection
Circular transfer loops, odd-amount structuring, new beneficiary large amounts, and cross-border risk signals are detected as typology signals — not simple threshold breaches.
Autonomous Investigation Agents
Six specialist agents run on demand: investigation brief assembly, rule optimization, insider threat detection, SAR drafting, executive reporting, and alert triage.
Alert Analysis Copilot
Analysts query the entire platform in plain English — transactions, alerts, cases, account history, network relationships. Live data, streamed responses, no SQL required.
Risk Score Decision Matrix
Scores are capped at 100 and include full signal attribution and a SHAP-style explanation — analysts see exactly which signals contributed and why.
Built around real fraud typologies
Fraud in a Tier-1 bank is not the same as fraud in a Tier-3 bank or an MFI. Caspix is tuned to institution type and East African operating realities.
Explore Solutions by InstitutionTier-1 Banks
Insider risk, high-volume alert management, mobile banking integration fraud
Tier-2 Banks
SIM swap, agent banking abuse, cross-channel fraud
Tier-3 Banks
Account takeover, mobile banking fraud, insider privilege abuse
Microfinance (Kenya)
Mobile banking fraud, social engineering, internal fraud and collusion
Fraud Incident & Intelligence Tracker (FIIT)
Caspix flags fraud. FIIT is where your team takes it from alert to recovered funds — incident tracking, partner validations, hold requests, chargeback management, and recovery analytics. Included with every Caspix subscription.
Security and compliance are built-in controls
RBAC, encrypted audit logs, secrets management, and deployment patterns aligned to regulatory expectations.
Ready to take control of fraud?
Book a structured demo and we will map the platform to your highest-risk transaction scenarios.