Integrations

Connect DataVisor to the stack you already trust

Bring the data, systems, signals, and workflows that run your business into a real-time fraud and risk platform. DataVisor integrates upstream and downstream so teams can strengthen decisioning without rebuilding the surrounding ecosystem.

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Fraud & Risk Platform/Integrations
Solution Pillars

Connect the platform around your business

Bring data and intelligence in, evaluate it in real time, and send decisions back out — through supported APIs, SDKs, and event-driven integrations.

Bring your data

Connect the systems where risk signals already live

Ingest data from transaction systems, core banking platforms, data warehouses and lakes, identity providers, payment infrastructure, and custom sources through supported APIs, SDKs, and event-driven integrations.

APIs · SDKs · event-driven ingestion
Bring your intelligence

Use the providers and models that already add value

Incorporate third-party identity and risk signals, custom scores, and externally trained models — including XGBoost, TensorFlow, PMML, and Dockerized models — into DataVisor strategies through the Feature Platform.

Third-party signals · custom scores · bring-your-own models
Send decisions where work happens

Connect risk outcomes to the next system or action

Return decisions to customer systems and route alerts, cases, events, or data to downstream operational tools through supported integrations.

Decisions, alerts, and cases routed downstream
Product Proof

The architecture, not a logo wall

Data enters DataVisor, enrichment sources contribute context, a real-time decision is made, and the resulting action flows back to customer systems.

Data
source
→
Enrichment
& signals
→
Real-time
decision
→
Action
downstream
Source, enrichment, decision, and action — the four stages data moves through on its way to a real-time decision.
How It Works

From source system to live decision flow

1

Connect the data or event source.

2

Map and validate the required fields.

3

Add enrichment or third-party signals.

4

Evaluate the event in DataVisor.

5

Return the decision or route the outcome downstream.

Integration with room to evolve

Add new signals without redesigning the risk stack

DataVisor's orchestration layer is designed to accommodate new data sources, risk providers, and decision inputs as the business changes, giving teams a stable decisioning foundation around a flexible ecosystem.

Architected for different operating models

Connect the platform around your business

Support bank and credit union environments, payment and issuer processors, sponsor-bank models, marketplaces, and other ecosystems with different upstream data and downstream action requirements.

Banks & Credit Unions Payment & Issuer Processors Sponsor-Bank Models Marketplaces
Get to value faster

Make integration speed and breadth concrete

Any source
Databases, data lakes, flat files, JSON/CSV, logs, and message queues
Any interface
REST APIs, third-party APIs, and custom connectors, alongside supported SDKs

Built to connect to the systems you already run — structured or unstructured, real-time or batch — without forcing a narrow integration path.

Connected Platform

One integration layer for the full platform

Connected data can power Data Orchestration, Real-Time Decisioning, ML, dEdge, Knowledge Graph, Case Management, and Analytics without creating a separate integration path for each capability.

Real-Time Data Orchestration → Real-Time Decisioning → Supervised Machine Learning → Unsupervised Machine Learning → Device & Behavioral Intelligence — dEdge → Knowledge Graph & Link Analysis → Investigations & Case Management → Analytics & Reporting →
Built for production integrations

Protect the data path

Connect critical systems through secure, production-ready integrations designed for reliable data exchange. Authentication, API controls, versioning, and failure handling help teams maintain resilient data flows as their environment evolves.

  • Supported authentication and API security controls
  • API versioning and change management
  • Resilience and failure-handling behavior
  • Data-exchange and validation controls
  • SDKs for web, Android, and iOS
FAQ

Common questions

How does DataVisor integrate with existing fraud and banking systems?

DataVisor supports API-, SDK-, and event-driven integration patterns that can connect upstream data sources, third-party intelligence, and downstream operational systems.

Can we keep our existing identity and risk-data providers?

Yes, where supported. DataVisor can incorporate third-party signals into the decision flow so teams can preserve providers that already deliver value.

Can DataVisor use our own models or scores?

Yes. Customers can upload externally trained models directly into DataVisor's Feature Platform, with support for XGBoost, TensorFlow, PMML, and Dockerized models — so existing scoring logic can run alongside DataVisor's native detection rather than being rebuilt from scratch.

Map DataVisor into your stack

See how the platform fits your architecture

Walk through your current data sources, risk providers, and decision points with our team.

Request a Demo →