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.

Explore integration options →
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 approved bring-your-own intelligence into DataVisor strategies.

Third-party signals · custom scores
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

Show the architecture, not a logo wall

Use a reference architecture to show data entering DataVisor, enrichment sources contributing context, a real-time decision being made, and the resulting action flowing back to customer systems.

Data
source
→
Enrichment
& signals
→
Real-time
decision
→
Action
downstream
Illustrative source / enrichment / decision / action flow — pair with a real architecture diagram when available.
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
Built for production integrations

Protect the data path

Detail supported authentication, API security, versioning, resilience, failure handling, and data-exchange controls for technical evaluators.

  • 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?

DataVisor can support external intelligence within its strategies; final copy should describe the approved bring-your-own-model or score capabilities available today.

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.

Discuss your integration architecture →