DataVisor

DataVisor Fraud Platform is an enterprise-grade AI-powered fraud and risk management platform designed to help banks, credit unions, fintechs, and digital payment providers detect, prevent, and respond to a wide range of financial crimes in real time. It offers end-to-end coverage across customer onboarding, account fraud, payments fraud (ACH, wire, card, checks, digital payments), and AML/BSA compliance, with a focus on rapid deployment, real-time decisioning, and scalable analytics. The platform emphasizes proactive risk prevention, seamless integration with existing data ecosystems, and measurable ROI through reduced losses, improved efficiency, and higher approval rates.

---

Key Use Cases

• Account Onboarding: Safely onboard good customers while minimizing friction and false positives.
• ATO Prevention: Detect and prevent account takeovers before they occur.
• Application Fraud: Balance risk in new accounts and loan applications.
• ACH & Wire Fraud: Stop financial crimes across electronic transfers in real time.
• Card Fraud: Block fraudulent payments and minimize false declines.
• Check Fraud: Prevent first- and third-party check deposit fraud.
• FinCrime & AML: Maintain compliance with evolving financial crime regulations (BSA/AML).
• Digital Payments: Real-time detection across all payment channels (ACH, cards, wallets, etc.).

---

Targeted Industries

• Banks
• Credit Unions
• Fintechs
• Digital Payments Providers

---

Core Capabilities

• Real-time fraud detection and decisioning across multiple channels and use cases
• Generative AI-powered detection and automation to anticipate and respond to emerging fraud patterns
• End-to-end Fraud & AML solution suite that covers onboarding, payments, and account risk
• Quick onboarding and integration to start providing protection within weeks
• Comprehensive risk scoring and feature store integration for flexible decisioning
• Seamless integration with existing data infrastructure to create a centralized intelligence hub
• Security and regulatory compliance to meet industry standards
• Customer success tools including case studies, resources, and demos to facilitate adoption

---

How It Works

1. Integrates with your data architecture to ingest relevant transactional and behavioral data.
2. Applies AI-driven risk scoring and real-time decisioning across onboarding, payments, and account activity.
3. Provides proactive alerts, automated response actions, and configurable rules to prevent fraud while reducing friction for legitimate customers.
4. Delivers dashboards, analytics, and reporting for ongoing fraud governance and regulatory compliance.

---

Benefits and Outcomes

• 50% reduction in fraud losses (illustrative KPI from platform claims)
• 60x efficiency lift through automation and streamlined risk workflows
• 50% increase in approval rate by reducing false positives while catching bad actors
• Real-time orchestration across data sources, removing data silos and enabling faster decisions

---

Safety and Compliance Considerations

• Real-time risk decisions with transparent scoring to support compliance reviews
• Comprehensive AML/BSA capabilities to maintain regulatory alignment
• Secure data handling and enterprise-grade security standards

---

Core Features

• Real-time fraud detection and decisioning across onboarding, payments (ACH, wire, card, checks, digital), and account activity
• Generative AI-powered detection and automation for proactive threat hunting
• End-to-end fraud and AML platform with rapid onboarding and integration
• Quick deployment (weeks) with minimal re-tuning required
• Unified data orchestration and feature store for scalable risk scoring
• Broad channel coverage for digital payments and multi-payment rails
• Interoperability with existing data and security infrastructure
• Compliance and governance tooling for BSA/AML and related regulations