One Engine. Every Fraud Type.
Your Infrastructure.
Real-time decisioning, ML scoring, and case management — deployed where your data lives. Built specifically for Southeast Asian banks and fintechs.
How It Works
Three steps from integration to protection. No months-long implementations.
Connect
Integrate via REST API or batch with your core banking system.
Configure
Choose from pre-built templates or create custom rules via the rules editor.
Protect
Real-time scoring, alerts, and case management from day one.
Rule Engine
A flexible, no-code rule engine that lets fraud teams build, test, and deploy detection logic without engineering dependencies.
- Pre-configured fraud detection templates across wire, card, and ATO scenarios
- No-code visual rule builder for fraud analysts
- A/B testing for rule performance optimization
- Backtesting against historical transaction data
- Shadow mode for safe rollout of new rules
- Complete audit trail for every rule change
IF
amount > 10,000 SGD
AND
country != account_country
AND
velocity_1h > 3
THEN
STEP-UP → OTP verification
Model Output
0.87
High Risk
ML Scoring & Explainability
Combine machine learning models with rule-based logic in a unified scoring pipeline. Every score comes with context your team can understand.
- Supervised + unsupervised model support
- SHAP-based explainability (on roadmap)
- Model versioning and lifecycle management
- Hybrid pipeline — rules + ML in unified scoring
- Champion/challenger model comparison
Real-Time Decisioning
Designed for millisecond-level response times. Every transaction gets an Allow, Step-Up, Manual Review, or Block decision through configurable workflows.
- Designed for millisecond-level response times
- Allow / Step-Up / Manual Review / Block decision outcomes
- API-first architecture for seamless integration
- Configurable decision workflows
- Priority queue management for high-value transactions
ALLOW
68%
STEP-UP
17%
REVIEW
9%
BLOCK
6%
Dashboard
Alerts today
1,247
Resolved
1,183
Investigation Dashboard
A purpose-built interface for fraud analysts to monitor, investigate, and act on alerts in real time.
- 20+ pre-built analytical views
- Role-based access control (RBAC)
- Real-time transaction monitoring
- Entity link analysis across transactions
- Customizable dashboards per analyst role
Case Management
End-to-end case lifecycle management from alert creation through resolution, with full audit trails and compliance-ready exports.
- Full case lifecycle management
- Event linking across related transactions
- Status workflows with SLA tracking
- PII-redacted export for compliance reporting
- Team assignment and escalation workflows
Case #FRD-2026-0847
Rule change approved
Maker-checker: 2/2 approvals
AES-256-GCM encryption
Data at rest · Active
Audit log exported
Q1 2026 · 12,847 entries
Governance & Compliance
Built-in governance controls that help regulated institutions meet audit and compliance requirements without slowing down operations.
- Maker-checker workflows for rule changes
- Complete audit logging of all actions
- AES-256-GCM encryption at rest
- Designed to support data residency requirements
- Role-based permissions with granular controls
Device Intelligence
Identify and track devices across sessions with deep fingerprinting that detects emulators, tampering, and suspicious device patterns.
- Device fingerprinting across web and mobile
- 25+ tampering and emulator detection signals
- Browser and app integrity checks
- Device reputation scoring
- Cross-session device linking
Device Profile
Lists & External Feeds
Centralized list management with real-time matching during decisioning. Import your own lists or connect third-party threat intelligence feeds.
- Managed blocklists and allowlists
- CSV bulk import for fast onboarding
- Approval workflows for list changes
- Third-party threat intelligence feed integration
- Real-time list matching in decisioning pipeline
Integration & SDKs
Everything you need to integrate the Fraud Decision Engine into your existing stack.
REST API
OpenAPI spec included
TypeScript SDK
npm package
Python SDK
pip package
WebSocket
Real-time events
curl -X POST https://api.run-true.com/v1/decisions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"transaction_id": "txn_001", "amount": 5000, "currency": "SGD"}'Deployment Options
Choose the deployment model that fits your institution's requirements. Both options deliver the same capabilities.
| Feature | SaaS | On-Premise |
|---|---|---|
| Data location | RTD-managed cloud | Your infrastructure |
| Maintenance | Fully managed by RTD | Your team, RTD-supported |
| Data sovereignty | Regional hosting available | Complete control |
| Go-live | Target: 2–4 weeks | Target: 1–3 months |
| Best for | Fast deployment, fintechs | Regulated banks, strict data residency |
On-premise deployment designed to support data residency requirements under MAS TRM Guidelines, OJK regulations, and similar frameworks.
Built for Banking
Pre-configured banking fraud templates ready for common scenarios — account takeover, wire fraud, card-not-present, and more. Designed against real bank RFI/RFP requirements from across Southeast Asia.
Account Takeover
Login anomaly detection
Wire Fraud
High-value transfer rules
Card-Not-Present
E-commerce transaction rules
Mule Detection
Money flow analysis
Transparent Pricing for Mid-Market Banks
We believe mid-market banks shouldn’t pay enterprise-tier prices for enterprise-grade fraud protection. Our pricing is designed to be accessible — talk to us for details.
Talk to Us About PricingSee It in Action
Our live demo bank at rtd-demo-bank.run-true.com connects directly to the Fraud Decision Engine sandbox. Submit test transactions, trigger rules, and see real-time scoring — no setup required.
Demo access is manually approved during our early access program.
Request Demo AccessReady to Stop Fraud Before It Moves?
Talk to our team about fraud decisioning for your institution.