Compare the Top Click Fraud Software for Linux as of June 2025

What is Click Fraud Software for Linux?

Click fraud software helps in the detection of fraud threats and protects against pay-per-click (PPC) content and advertisements. Compare and read user reviews of the best Click Fraud software for Linux currently available using the table below. This list is updated regularly.

  • 1
    Fraud.net

    Fraud.net

    Fraud.net, Inc.

    Fraudnet's AI-driven platform empowers enterprises to prevent threats, streamline compliance, and manage risk in real-time. Our sophisticated machine learning models continuously learn from billions of transactions to identify anomalies and predict fraud attacks. Our unified solutions: comprehensive screening for smoother onboarding & improved compliance, continuous monitoring to proactively identify new threats, & precision fraud detection across channels and payment types. With dozens of data integrations and advanced analytics, you'll dramatically reduce false positives while gaining unmatched visibility. And, with no-code/low-code integration, our solution scales effortlessly as you grow. The results speak volumes: Leading payments companies, financial institutions, innovative fintechs, and commerce brands trust us worldwide—and they're seeing dramatic results: 80% reduction in fraud losses and 97% fewer false positives. Request your demo today and discover Fraudnet.
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  • 2
    SHIELD

    SHIELD

    SHIELD

    Device-First Fraud Prevention with Real-Time Identification & Intelligence. SHIELD's Device Intelligence persistently identifies devices, users, and accounts you can trust — and those you can't. Don't let fraudsters fool you. Make precise decisions about device trustworthiness with the global standard for device identification — SHIELD Device ID. Get the most comprehensive view of every user with real-time actionable device signals and continuous risk profiling. Eliminate risk blind spots, provide superior user experiences, and accelerate growth. Instant insights. No additional codes needed. Gain intelligence without giving PII data. Self-configurable risk thresholds. We return all data, and more. Get the full picture with transparent intelligence. Stay ahead of new and emerging fraud attacks. Real-time attack pattern syncing worldwide.
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  • 3
    Singular

    Singular

    Singular

    Singular empowers marketers to futureproof their growth with next-gen attribution and analytics. We provide a holistic solution that combines mobile attribution with industry-leading cost aggregation, flexible ROI analytics, and automatic loading directly into your BI tools. With Singular you are able to - Measure and report on all the channels you work with - Analyze ROI by combining attribution with leading cost aggregation - Track and analyze across the entire user lifecycle - Block more fraud with best-in-class fraud prevention - Monitor a single managed pipeline with a plug-and-play solution to extract, transform and load analysis-ready marketing data into your chosen data warehouse Top marketers from LinkedIn, Rovio, Microsoft, Lyft, Twitter, EA, and more, rely on Singular for a complete view of their marketing performance.
  • 4
    Centrifuge Analytics

    Centrifuge Analytics

    Culmen Internal LLC

    Centrifuge Analytics™ is a big data discovery technology that provides the power and flexibility to connect, visualize and collaborate without complex data integration, costly services or a data science degree. It combines sophisticated link-analysis, interactive visualizations and discovery features to dramatically simplify data pattern and connection recognition. - First and foremost, a fully integrated solution that empowers analysts to work with no IT support - Sophisticated link-analysis features such as pattern Identification, intelligent bundling and various unique visual interactive features - 100% Browser footprint ensures no client-side data retention that simplifies security and client administration Patent-pending server-side rendering engine enables highly scalable network graphs Agile data integration – No need to stage, warehouse or apply a fixed ontology Model-based analytics – Setup once and reuse – build upon the experience of more seasoned analysts
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