
DataVisor Fraud Platform
6.0#17 in fraud detection softwareAndroidiOSWebAPI
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| Fact | DataVisor Fraud Platform | Fingerprint |
|---|---|---|
| Founded | 2013 | 2012 |
| Headquarters | The company lists its address as 967 N Shoreline Blvd, Mountain View, California 94043. | Chicago, Illinois, United States |
| 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. | Official integrations include Cloudflare, AWS CloudFront, Fastly VCL, Fastly Compute, Segment, Akamai, Google Tag Manager, and Azure. |
| Purpose | The platform combines real-time AI decisioning, adaptive detection models, and investigations to stop financial crime. | Fingerprint identifies web visitors and mobile devices to help stop fraud, detect bots and AI agents, and support smoother customer experiences. |
| Security | The product page describes role-based access controls and data partitioning that isolate each tenant’s data while allowing shared intelligence. | Fingerprint states that traffic is encrypted with HTTPS/TLS 1.2, uses AWS data centers, undergoes annual penetration testing, and supports Zero Trust mode. |
The platform is aimed at financial institutions and digital payments providers handling transaction fraud and money-laundering risks. It may suit teams that need alert investigations alongside detection and device risk analysis.
Fingerprint suits teams that need persistent visitor identification across web and mobile to address fraud, bots, or AI agents. It also fits developers seeking APIs, SDKs, and integrations for security workflows.