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SPECIFICTION
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DataVisor Fraud Platform

datavisor.com

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Spec score 7.7 #13 of 31 in Payment Fraud Detection Software

What it is

DataVisor Fraud Platform is a paid system for detecting and investigating financial crime across ACH, wire, card, loan, check, and crypto transactions. It combines real-time AI decisioning, adaptive detection models, and investigations. Device risk analysis uses fingerprinting, behavioral biometrics, emulator and rooting detection, and geolocation. A knowledge graph connects devices, behaviors, and entities to reveal possible links among fraud rings and laundering networks. DataVisor says its patented unsupervised machine learning can increase detection coverage by up to 92% by finding patterns missed by rules and supervised models. The platform states it can process over 15,000 queries per second and compute rich features in under 100 milliseconds. Case management consolidates alert review with audit trails, role-based access, and customizable workflows. AI agents can automate alert triage, rule tuning, and SAR/CTR narrative generation while retaining human oversight. APIs, SDKs, and event-driven integrations are supported, along with third-party signals and models including XGBoost, TensorFlow, PMML, and Dockerized models. Pricing is on request; the platform serves banks, credit unions, fintechs, and digital payments providers.

Spec sheet

Purpose
The platform combines real-time AI decisioning, adaptive detection models, and investigations to stop financial crime.Read 30 Sep 2026 · datavisor.com
Integrations
The platform supports APIs, SDKs, and event-driven integrations, and can incorporate third-party signals and models including XGBoost, TensorFlow, PMML, and Dockerized models.Read 30 Sep 2026 · datavisor.com
Security
The product page describes role-based access controls and data partitioning that isolate each tenant’s data while allowing shared intelligence.Read 30 Sep 2026 · datavisor.com
Support
DataVisor links to a Support Portal from its website.Read 30 Sep 2026 · datavisor.com
Headquarters
The company lists its address as 967 N Shoreline Blvd, Mountain View, California 94043.Read 30 Sep 2026 · datavisor.com
Founded
2013Read 23 Sep 2026 · datavisor.com
Automation
AI agents can automate alert triage, rule tuning, and SAR/CTR narrative generation while maintaining human oversight.Read 30 Sep 2026 · datavisor.com
Company background
DataVisor says it was founded in 2013 and provides an AI-powered fraud and risk SaaS platform for financial institutions and large organizations.Read 30 Sep 2026 · datavisor.com
Device intelligence
Device risk detection uses fingerprinting, behavioral biometrics, emulator and rooting detection, and geolocation analysis.Read 30 Sep 2026 · datavisor.com
Fraud coverage
It monitors ACH, wire, card, loan, check, and crypto transactions for fraud and money laundering.Read 30 Sep 2026 · datavisor.com
Investigations
Unified case management provides fraud alert review in one workspace with audit trails, role-based access, and customizable workflows.Read 30 Sep 2026 · datavisor.com
Knowledge graph
Knowledge graph linking connects devices, behaviors, and entities to reveal fraud rings and laundering networks.Read 30 Sep 2026 · datavisor.com
Performance
The platform states it can process over 15,000 queries per second and compute rich features in under 100 milliseconds.Read 30 Sep 2026 · datavisor.com
Supported industries
DataVisor identifies banks, credit unions, fintechs, and digital payments providers as industries it serves.Read 30 Sep 2026 · datavisor.com
Unsupervised ML
DataVisor says its patented unsupervised machine learning can increase detection coverage by up to 92% by finding attack patterns missed by rules and supervised models.Read 30 Sep 2026 · datavisor.com

Plans and prices

DataVisor Fraud Platform Priced on request Custom enterprise platform; request a demo Read 30 Sep 2026 · datavisor.com

Every DataVisor Fraud Platform plan and price →

Strong points and limits

Strong points

  • Monitors six transaction types for fraud and money laundering.
  • Links entities through a knowledge graph.
  • Case management includes audit trails and customizable workflows.
  • Integrates APIs, SDKs, and third-party models.

Limits

  • Pricing is available only on request.
  • The listed platform has no chargeback guarantee.

Who it suits

It is aimed at banks, credit unions, fintechs, and digital payments providers handling multiple transaction types and fraud investigations.

Verdict

DataVisor combines transaction monitoring, device analysis, graph links, and case workflows, with automation subject to human oversight. Organizations should request pricing and assess its integration and investigation capabilities against their needs.

Where Specifiction places it

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