Multi-Layer Fraud Protection
Advanced AI-powered fraud detection protects every transaction in our ecosystem. From pre-bid filtering to post-bid verification, we ensure your advertising investment reaches real humans.
Six Layers of Protection
Pre-Bid Filtering
Known bad actors, data center traffic, and suspicious patterns are blocked before entering the auction.
Real-Time Bot Detection
Behavioral analysis identifies non-human traffic patterns in milliseconds during the bid request.
Device Fingerprinting
Advanced device identification detects spoofing, emulation, and device farms.
Behavioral Analysis
AI models detect anomalous user behavior patterns that indicate fraud or manipulation.
Traffic Quality Scoring
Every impression receives a quality score based on dozens of signals and historical patterns.
Post-Bid Verification
Continuous monitoring validates delivered impressions and identifies delayed fraud signals.
Fraud Types & Protections
| Fraud Type | Protection Method |
|---|---|
| Bot Traffic | Behavioral ML + Device Fingerprinting |
| Click Fraud | Pattern Analysis + Session Validation |
| Domain Spoofing | ads.txt Validation + Supply Chain Verification |
| Ad Stacking | Viewability Verification + Page Analysis |
| Pixel Stuffing | Rendering Validation + Size Verification |
| Data Center Traffic | IP Intelligence + Network Analysis |
How Protection Works
Every bid request passes through our fraud detection pipeline in under 5ms. Suspicious traffic is blocked before entering the auction, protecting both advertisers and the integrity of our marketplace.
Anti-Fraud FAQ
Our systems detect all major fraud types including: general invalid traffic (GIVT) such as known bots and data center traffic; sophisticated invalid traffic (SIVT) including device farms, ad injection, and coordinated fraud; and specific schemes like domain spoofing, ad stacking, pixel stuffing, click injection, and attribution fraud.
Our fraud detection achieves 99.8% true positive rate with less than 0.1% false positive rate. We continuously validate our systems against industry benchmarks and third-party verification services. Our AI models are updated daily to address emerging fraud techniques.
Yes. While our platform includes comprehensive built-in fraud protection, we support integration with major third-party verification vendors (IAS, DoubleVerify, MOAT) for advertisers who require additional validation. We can honor their pre-bid segments and post-bid reporting.
Fraud detected pre-bid results in immediate blockingāthe impression never enters the auction. Post-bid detection triggers credits to affected advertisers, investigation of the source, and potential removal of bad actors from our ecosystem. We provide detailed fraud reporting for all partners.
Our AI models are trained to minimize false positives while maintaining high detection rates. We use multi-signal verificationāsuspicious activity must be confirmed across multiple detection layers before blocking. Edge cases are routed to human review, and we provide appeals processes for disputed blocks.
We participate in industry fraud sharing initiatives including TAG's Data Sharing Consortium. We contribute anonymized threat intelligence to help protect the broader ecosystem while maintaining strict confidentiality of partner-specific data.