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Brief
FraudScore

FraudScore

Ad Fraud Detection & Preventionfraudscore.ai

Protects digital advertising investments by detecting and preventing ad fraud through machine learning and real-time traffic analysis, ensuring marketing budgets reach genuine users.

Founded: 2015

Last updated May 10, 2026 by the ATDb Editorial Team

At a glance

About

Ad fraud detection platform serving advertisers, ad networks, and publishers

FraudScore is an ad fraud detection and prevention platform that serves the digital advertising ecosystem by identifying and blocking invalid traffic across advertising campaigns. The company utilizes machine learning algorithms and big data analytics to detect various forms of ad fraud including bot traffic, click fraud, impression fraud, and other forms of invalid traffic that waste advertiser budgets. By providing real-time monitoring and detailed analytics, FraudScore helps advertisers, ad networks, and publishers maintain traffic quality and ensure their marketing spend reaches genuine users. The platform operates in the ad verification and fraud prevention segment of the AdTech industry, competing in a market where ad fraud represents billions of dollars in annual losses for advertisers globally. FraudScore's technology analyzes traffic patterns, user behavior, device fingerprints, and other signals to distinguish between legitimate users and fraudulent activity, providing actionable insights through comprehensive reporting dashboards.

Business model

SaaS

Target market

Mid-Market, Enterprise

What they offer

  • Ad Fraud Detection

    Real-time identification and blocking of invalid traffic including bot traffic, click fraud, and impression fraud

  • Traffic Quality Analytics

    Detailed reporting and insights into traffic quality metrics and fraud patterns

  • Machine Learning Engine

    Advanced algorithms that continuously learn and adapt to new fraud patterns

Key features

Real-time fraud detectionMachine learning-based analysisBig data analyticsDetailed traffic quality reportsBot detectionClick fraud preventionImpression fraud detectionTraffic pattern analysisDevice fingerprinting

Use cases

Protecting advertising campaign budgets from fraudEnsuring traffic quality for ad networksPublisher traffic validationPerformance marketing optimizationAffiliate marketing fraud preventionMobile app install fraud detection

Customer segments

AdvertisersAd NetworksPublishersPerformance MarketersAffiliate NetworksMobile App Developers

Tech & specs

Technology stack

Machine LearningBig Data AnalyticsReal-time ProcessingDevice Fingerprinting

Deployment

Cloud

API

Yes

Corporate history
  1. 2015 · Founded

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