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The table below summarises some key information about ThreatMetrix from LexisNexis Risk Solutions and ATO Prevention from Datavisor, giving you some points to compare.
ThreatMetrix | ATO Prevention | |
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Product Description |
ThreatMetrix by LexisNexis Risk Solutions is a comprehensive digital identity platform designed to detect and prevent fraud while ensuring seamless user experiences. By leveraging behavioral biometrics, device intelligence, and global threat intelligence, the platform evaluates risks in real-time to protect against account takeovers, identity theft, and other fraud types. ThreatMetrix integrates effortlessly with existing systems, offering businesses powerful tools to mitigate fraud and improve customer trust. The platform's scalability and flexibility make it ideal for organizations across industries looking to strengthen their fraud prevention strategies. |
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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