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RiskOS · Risk & Fraud Prevention

Risk engine that scores, detects and blocks in real-time

Real-time risk scoring in < 50ms, AI/ML anomaly detection, configurable anti-fraud rules, continuous transaction monitoring, and automated PLD/FT regulatory reporting — all via API.

Get startedView documentation
Risk Scoring< 50ms
PIX R$ 15.420
0.12
TED R$ 89.750
0.45
PIX R$ 247.000
0.91
Active Rules12 enforced
velocity_check> 5 PIX/min → block
amount_threshold> R$ 100K → review
geo_anomalynew city → challenge
device_fingerprintunknown device → MFA
Fraud Alerts2 active
txn.blocked
Velocity exceeded · 12s
txn.flagged
Geo anomaly detected · 45s
pep.match
PEP list match · 2min
< 50ms

Risk scoring

AI/ML

Anomaly detection

< 0.1%

False positive rate

PLD/FT

Automated reporting

Real-time

Transaction monitoring

PEP/Sanctions

Screening

Risk building blocks for fraud-free operations

Scoring & Detection
Risk ScoringReal-time < 50ms
Anomaly DetectionAI/ML
Device FingerprintHardware + behavior
Behavioral AnalyticsUsage patterns
Anti-fraud Rules
Rules EngineVelocity, amount, geo
Blocklist / AllowlistDynamic lists
Transaction MonitoringContinuous
Circuit BreakerAuto-block on fraud
PLD/FT & Compliance
PEP & SanctionsScreening
STR/COAFAutomated reporting
KYC/KYB RiskContinuous assessment
WatchlistReal-time monitoring

Every transaction scored before execution

RiskOS evaluates every API call in < 50ms. AI/ML models analyze behavioral patterns, device fingerprints, and transaction context. Rules engine enforces configurable policies, and every decision is logged for PLD/FT reporting.

Your PlatformTransaction events
PaymentsTransfersOnboardingLoginCards
RiskOS
AI/ML + Rules Engine

Scoring

< 50ms

Rules

Configurable

Screening

PEP/Sanctions

Monitoring

Real-time

Regulatory InfrastructureCOAF · BACEN · OFAC
COAF
BACEN
OFAC
EU Sanctions
PEP Lists

Full risk management, one API

From risk scoring to regulatory reporting — every fraud prevention operation accessible via REST endpoints.

Real-time risk scoring

Score any transaction in < 50ms. AI/ML models evaluate amount, velocity, device, and behavioral patterns.

Scoring — Request
1
curl https://api.revenu.com/risk/score \
2
-u:prod_key \
3
-d transaction_id='txn_7xMn8kR5' \
4
-d amount=150000 \
5
-d device_id='dev_9pQr2sT4'
▌
Response — 200 OK
{
"id": "rsk_3xMn8kR5",
"score": 0.12,
"level": "low",
"decision": "allow",
"latency_ms": 23,
"factors": "amount,velocity,device"
}▌

Everything you need, nothing you don't

Detection

AI/ML Scoring

Ensemble models trained on financial fraud patterns. Continuous learning from your transaction data.

Device Fingerprint

Hardware, browser, and network fingerprinting. Detect emulators, VPNs, and device spoofing.

Behavioral Analytics

Baseline user behavior and detect deviations. Typing patterns, navigation flow, and session analysis.

Continuous Monitoring

24/7 transaction monitoring with automatic escalation. Configurable alert thresholds per risk level.

Prevention

Rules Engine

Velocity, amount, geo, time-window, and custom conditions. Hot-deploy without code changes.

Blocklist / Allowlist

Dynamic lists by CPF, CNPJ, device, IP, or custom attribute. API-managed with instant propagation.

Circuit Breaker

Automatic account/device blocking when fraud patterns are detected. Auto-unblock after review.

Step-up Authentication

Trigger MFA, liveness check, or manual review based on risk score. Configurable per transaction type.

Developer

Full Sandbox

Test scoring, rules, and screening with simulated fraud patterns in production-identical environment.

Risk Dashboard

False positive rates, detection metrics, rule performance, and trend analysis via API.

Real-time Webhooks

Events for every risk decision: scored, flagged, blocked, reviewed, and cleared.

Native SDKs

Go, Node.js, Python, and Java. Mobile SDKs for device fingerprinting (iOS/Android).

Why RiskOS over legacy fraud tools?

Legacy
RiskOS
Risk scoring
Rule-based only
AI/ML + Rules < 50ms
Fraud detection
Post-hoc analysis
Real-time pre-transaction
Rule changes
Code deploy
Hot-deploy via API
PEP/Sanctions
Monthly batch check
Real-time continuous
False positive rate
5-10%
< 0.1%
PLD/FT
Manual reports
Automated STR/COAF
Case Study

“RiskOS reduced our fraud losses by 97% while cutting false positives from 8% to 0.08%. The AI scoring catches patterns our rule-based system never could. COAF reports are now fully automated.”

Head of Risk, PSP Theta
97%

Fraud reduction

0.08%

False positive rate

< 50ms

Scoring latency

Try RiskOS now

Score transactions, test anti-fraud rules, simulate screening, and explore risk analytics — all with pre-loaded fraud patterns in a production-identical sandbox.

Free sandboxSimulated fraud patternsNo credit card
Sandbox

Access the sandbox

Test credentials in minutes.

Access the sandbox

Free sandbox environment · No credit card

Regulated from day one

BACEN
ISO 27001
PCI DSS v4.0
LGPD
MED 2.0
ISO 20022

Start building today

Direct access to complete banking infrastructure: accounts, cards, payments and capital. Build your financial products on your terms, without unnecessary intermediaries.

Documentation

Everything you need to get started with our APIs and build your financial products.

Getting Started

Step-by-step guides and tutorials to get your first financial product up and running quickly.

Contact Sales

Talk to our sales team and get your questions answered.