Fraud Detection
Catch fraud. Before it costs you.
AI-powered anomaly detection and behavioural analysis designed to identify suspicious patterns and protect your bottom line.
Risk Assessment
Real-time fraud scoring
THE PROBLEM
Fraudsters are moving faster than your rules.
Vulnerable onboarding
Stolen credentials and synthetic identities bypass basic checks, polluting your platform from day one.
Account takeovers
Legacy systems only examine transactions, ignoring critical non-financial events like suspicious PIN resets or sudden device changes.
Silent losses
Subtler fraud patterns, like small coordinated test transactions, often fly completely under the radar until the damage scales.
Siloed investigations
Risk teams lose hours jumping between different tools to piece together the forensic trail of a coordinated attack.
Why it matters
Prevent losses instead of chasing them.
As digital financial services expand, so does the sophistication of fraudsters. Account takeovers, coordinated syndicates, and rapid fund dissipation happen in seconds. Relying purely on reactive chargebacks or post-loss investigations is no longer a sustainable business model.
The remllo approach
Smarter detection. Clearer context.
- Event-level monitoringMonitor both financial (transfers) and non-financial events (login attempts, device changes) simultaneously.
- Behavioural signalsTrack what normal behavior looks like for an account and trigger instant alerts when an anomaly occurs.
- Rules + AI integrationCombine strict deterministic rules with machine learning pattern recognition to catch complex syndicate behavior.
- Identity-aware contextInstantly cross-reference suspicious events with the user's KYC verification status to gauge the true risk level.
CAPABILITIES
Precision tools for modern fraud teams.
Real-Time Anomaly Detection
Spot sudden spikes in transaction velocity or erratic geographic logins instantly.
Non-Transaction Event Tracking
Ingest API paths for PIN resets, password changes, and new device linking.
Customer Risk Scoring
Automatically upgrade or downgrade a customer's total risk score based on cumulative micro-anomalies.
Collaborative Investigations
Escalate high-risk alerts directly to human investigators with full visual context.
Total visibility across the customer journey.
1. Ingest
Streams of behavioral and transactional events flow securely into Remllo via API.
2. Analyze
The system maps the event against the customer’s historical footprint and known fraud vectors.
3. Detect
Complex algorithms flag anomalies—like a massive transfer seconds after a password reset.
4. Alert
A high-priority case is generated and assigned to a fraud investigator instantly.
5. Resolve
Operations teams review the data, freeze accounts, or dismiss the alert natively.
Built for digital-first financial operations.
We protect high-volume consumer apps from sophisticated abuse and takeovers.
Fintechs
Detect account takeovers and block unauthorized push payments before settlement.
Digital Lenders
Prevent loan stacking and identify synthetic identities during the application phase.
Crypto Exchanges
Flag erratic withdrawal behaviors immediately following a new device login.
E-commerce
Identify card-testing velocity and high-risk buyer-seller collusion.
THE ECOSYSTEM
Powered by the Remllo ecosystem.
This solution utilizes Remllo WatchTower for continuous behavioural monitoring, directly augmented by Remllo Identity to ensure the acting user remains verified.
Why operations teams trust Remllo.
- Beyond just money: we track PIN changes and IP anomalies entirely
- API-first flexibility allows you to send any custom event type
- Identity integration instantly links fraudulent actions to verified biometrics
- Frictionless investigations cut manual review times in half
Frequently Asked Questions
Remllo combines deterministic rule engines with behavioural algorithms to spot sudden deviations in a user's normal activity or transaction velocity.
We detect everything from sudden high-velocity transfers and card-testing patterns to account takeover indicators like rapid PIN resets and unknown device logins.
Yes. Our platform learns standard user behaviors (typical transfer sizes, frequent locations) and flags drastic deviations in real time.
Absolutely. Our case management interface is designed specifically for fraud investigators to review payloads, add notes, and make operational decisions.
No. Remllo WatchTower is engineered for sub-second latency, allowing you to run checks without disrupting the customer experience.
Ready to upgrade your fraud infrastructure?
Join the fastest-growing companies relying on Remllo to protect their platforms and their customers.