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The table below summarises some key information about Emailage from LexisNexis Risk Solutions and ATO Prevention from Datavisor, giving you some points to compare.
| Emailage | ATO Prevention | |
|---|---|---|
| Product Use-cases | ||
| Product Description |
Emailage, a LexisNexis Risk Solutions product, is a leading fraud prevention and identity verification platform that leverages email intelligence to assess risk. By analyzing email addresses and associated behavioral data, the solution identifies potential fraud and enhances decision-making during customer interactions. The platform integrates seamlessly with onboarding, transaction monitoring, and fraud prevention workflows, providing actionable insights in real-time. Emailage helps businesses reduce fraud losses, improve operational efficiency, and enhance customer trust through accurate risk assessments. |
DataVisor's Account Takeover (ATO) Prevention solution safeguards user accounts from unauthorized access and fraudulent activities. The platform detects and mitigates ATO attempts by analyzing user behavior, device attributes, and login patterns, identifying anomalies in real-time. Its adaptive machine learning models ensure robust protection against evolving attack vectors while minimizing false positives. The solution integrates seamlessly with authentication and security workflows, providing businesses with actionable insights to strengthen their defenses. DataVisor's ATO Prevention solution enhances account security, protects sensitive data, and fosters customer trust. |
| Vendor | LexisNexis Risk Solutions | Datavisor |
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| Vendor Headquarters | United States | United States |
| Vendor Founded | 1970 | 2013 |
| About the vendors |
LexisNexis Risk Solutions is a global data and analytics company that provides information-based analytics, decision tools, and data management services to help organizations make informed decisions, stay compliant, reduce risk, and improve operations |
Datavisor offer an end-to-end fraud and risk SaaS platform powered by AI and machine learning, for financial institutions and large organizations to combat against a variety of fraud and financial crimes |
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