Capabilities · Fraud Prevention

Stop fraud. Before it bills.

Four-layer fraud stack: pre-bid filtering, behavioral ML, device graph, and transparent logs: all applied before spend moves, not after.

INCOMING TRAFFICIVT FILTERBOT DETECTIONDEVICE GRAPHBEHAVIORAL ML<0.5%IVT RATEBLOCKEDCLEAN DELIVERY
<0.5%
IVT rate filtered
Pre-bid
Not post-impression
ML
Behavioral detection
Transparent
Block logs
The fraud stack

Four layers before impression.

01PRE-BID IVT

Stop fraud before it bills

Pre-bid filtering blocks invalid traffic before a bid is placed: the impression never serves, the budget never moves.

<0.5% IVT rate on filtered inventory.

02BEHAVIORAL ML

Catch what rules miss

ML models trained on billions of events spot new bot patterns, click farms, and sophisticated invalid traffic.

Models retrained weekly · anomaly alerts in real time.

03DEVICE GRAPH

Know the real device

Cross-device identity graph catches device-spoofing, emulators, and coordinated fraud rings.

Deterministic + probabilistic identity layers.

04TRANSPARENT LOGS

See every block

Full audit log of blocked impressions, reasons, and source, not a 'trust us' black box.

Exportable block logs for advertiser review.

Want to see what you're actually paying for?

Send us a 30-day window of served impressions. We'll run a fraud analysis and return a block log with the specific sources, patterns, and reclaimable spend.