Global Anti-Fraud Network

Stronger Together with the Global Anti-Fraud Network

Prevent fraud with trusted, privacy-first insights from a vast network of anonymized fraud intelligence.

Isometric illustration of interconnected digital blocks with a padlock symbolizing network security and data protection.
Global Data Network

The Power of Big Data

Leverage trillions of data points in our proprietary Global Anti-Fraud Network to improve your fraud and risk strategies. Our evolving map of digital behaviors enriches your data and accelerates pattern recognition, providing deeper insights, better protection, and smarter decisions.

Network diagram illustrating 'The Power of Big Data' by Global Data Network. The center shows interconnected data points representing their anti-fraud network with various metrics: 1B+ phones, 10K global IPs, 1.5B IP addresses, 1M+ marketers, 400K issuing banks, 3B emails, 5M+ products, 10B+ annual transactions, 5B devices, 1B physical addresses, 500M payment profiles, and 185 countries. Network diagram illustrating 'The Power of Big Data' by Global Data Network. The center shows interconnected data points representing their anti-fraud network with various metrics: 1B+ phones, 10K global IPs, 1.5B IP addresses, 1M+ marketers, 400K issuing banks, 3B emails, 5M+ products, 10B+ annual transactions, 5B devices, 1B physical addresses, 500M payment profiles, and 185 countries.

600+

Fraud Schemes Tracked

1 Billion+

Digital Global Identities

1 Trillion+

Risk Assessments
Why FraudNet

Harness Global Intelligence for Stronger AI Models & Precision Detection

39.3%

lift in model performance

with FraudNet's network intelligence & data enrichment

We enrich your custom AI model with anonymized data across geographies, industries, and payment rails. Our powerful identity graph capabilities transform fragmented identity data into a connected risk network, strengthening the performance of our AI scoring models.

By expanding your dataset, the performance of your risk management program goes beyond what is possible with internal data alone.

Global Data in Action

Transform Connected Intelligence Into Sharper Decisions

Access years of privacy-safe, verified data to evaluate behaviors, improve pattern recognition, and make informed risk assessments, even for entities that have never been in your data set before.

Supperior Machine Learning Models

Our custom models are enriched with expansive global insights for more effective and powerful decision-making.

Precision Risk Scoring

Detect historical fraud indicators to inform more accurate risk scoring, even for new entities you have yet to encounter.

More Effective Rule Writing

Apply network intelligence data within certain rule filters for a more effective and targeted rule library.

Smarter Investigations

Easily identify when data points have been seen previously in the global network to support more informed investigations.

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Global Identity Verification

Detect Hidden Risks with Real-Time Global ID Checks

We track identity data across government databases, AML and fraud watchlists, and payment platforms in real-time to detect evolving behavior indicative of emerging threats, helping you safeguard your operations. 

Global Identity Check

Global Identity Check

Analyzes identities using data from 185+ countries.

Address Check

Address Check

Validates address risk using data, postal records, and signals.

IP Check

IP Check

Analyzes IPs for malicious activity and proxy/VPN usage.

Phone Check

Phone Check

Evaluates phone number legitimacy and ownership.

Email Check

Email Check

Evaluates email credibility, tenure, domain reputation, and risk.

Sanctions & Watchlist Screening

Sanctions & Watchlist Screening

Cross-checks identities against OFAC, Interpol, UN, and other global watchlists.

News & Social Media Check

News & Social Media Check

Analyzes public content to check identities and reputations.

Industry Benchmarking

Industry Benchmarking

Compare your fraud metrics with industry peers for insights.

Multi-Factor Authentication

Multi-Factor Authentication

Enhances security with MFA and biometrics for identity verification.

ISP Monitoring

ISP Monitoring

Detects ISP anomalies like suspicious usage or compromised networks.

Device Check

Device Check

Analyzes devices to detect tampering or spoofing attempts.

And more...

And more...

Additional identity checks available. Contact us for details.

Benefits

Better Insights for Better Outcomes

More Accurate Risk Scores

Lower
Fraud Rates

Reduced False Positives

More Informed Decisions

Together, We Are Stronger

Join thousands of institutions in the Global Anti-Fraud Network and harness the power of collaboration. Protect your organization and customers with a solution built for today’s complex fraud and risk challenges.

Resources

Recognized by Industry Analysts

FAQs

What is FraudNet's Global Anti-Fraud Network?

FraudNet's Global Anti-Fraud Network is the company's name for its network and consortium intelligence capability — a shared pool of fraud and risk signals contributed across participating organizations, so any one customer benefits from patterns the whole network has observed, not just its own history. FraudNet's Global Anti-Fraud Network spans over 1 billion digital identities and 1 trillion-plus risk assessments across 185 countries, tracking 600-plus distinct fraud schemes.

What is a fraud consortium, and how does it improve detection?

A fraud consortium pools anonymized fraud signals across participating organizations, so a bad actor flagged by one company can help protect others before that actor targets them too. This is especially useful against fraud rings and synthetic identities that deliberately spread activity across platforms specifically to avoid standing out to any single company.

How does an anti-fraud network protect against fraud rings specifically?

An anti-fraud network surfaces connections, such as shared devices, addresses, or payment methods, that no single organization would spot looking only at its own transaction history. Fraud rings count on spreading activity thin enough that no one dataset catches the pattern, which is exactly what network scale at FraudNet's level is built to close.

Is contributing data to a fraud intelligence network safe for customer privacy?

Contributing data to a well-built fraud intelligence network is designed to protect customer privacy, since FraudNet's network operates on anonymized data rather than sharing raw customer records between participants. Organizations gain the protective benefit of shared intelligence without exposing individual customer data to other companies on the network.

How much does network-based fraud intelligence actually improve detection accuracy?

Network-based fraud intelligence delivers a measured 39.3% lift in model performance at FraudNet, compared to models trained on internal data alone. That gap comes mostly from scale, since no single organization accumulates a comparable dataset independently, which matters most for catching fraud a business hasn't personally encountered yet.