
Global consortium-based fraud intelligence network aggregating transaction and risk data to enhance real-time fraud detection and prevention.
Vendor
Outseer
Company Website
Outseer Global Data Network is a consortium-driven platform that aggregates and shares fraud and transaction data from a vast network of global partners, customers, ISPs, and third-party contributors. The network collects billions of data points across industries and geographies, including device identifiers, IP addresses, payment information, and behavioral signals. When fraud is detected by any participant, the associated data elements are disseminated throughout the network, enabling rapid risk assessment and proactive fraud prevention for all members. The platform leverages advanced machine learning and AI to analyze this collective intelligence, generating highly accurate risk scores and enabling real-time decisioning. Privacy and security are prioritized through data anonymization and compliance with data protection regulations, ensuring sensitive information is protected. The network fosters collaboration and knowledge-sharing among participants, continuously enhancing fraud detection capabilities and keeping organizations ahead of evolving threats.
Key Features
Consortium-Based Data Sharing Aggregates fraud and transaction data from a global network of contributors.
- Shares device, IP, payment, and behavioral data elements
- Enables rapid dissemination of fraud intelligence
Real-Time Fraud Intelligence Provides instant access to updated fraud signals and risk elements.
- Powers risk scoring for transactions and user activities
- Integrates with Outseer Risk Engine, Fraud Manager, and 3-D Secure
Advanced Machine Learning Analytics Analyzes billions of data points for accurate risk assessment.
- Detects complex fraud patterns across industries
- Continuously refines models with new intelligence
Privacy and Security Compliance Ensures data anonymization and regulatory compliance.
- Protects sensitive customer information
- Maintains trust and confidentiality among participants
Collaborative Network Effects Facilitates best practice sharing and collective defense.
- Enhances fraud prevention through shared knowledge
- Strengthens network capabilities over time
Benefits
Enhanced Fraud Detection Improves accuracy and speed of fraud identification.
- Leverages global intelligence for early threat detection
- Reduces financial losses and operational risk
Proactive Risk Management Enables organizations to act on emerging fraud signals.
- Supports real-time decisioning and policy management
- Minimizes manual intervention and investigation workload
Scalable Protection Adapts to growing transaction volumes and new fraud vectors.
- Suitable for organizations of all sizes and industries
- Future-proofs fraud prevention strategies
Regulatory Confidence Meets privacy and data protection standards.
- Facilitates compliance with global regulations
- Builds customer and partner trust