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聲譽監控

  • TrustGraph AI builds and analyzes trust graphs to visualize relationships, detect risks, and ensure brand safety in real time.
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    What is TrustGraph AI?
    TrustGraph AI ingests data from multiple sources such as web crawlers, social media platforms, CRM systems, and spreadsheets. Its AI-driven engine processes content sentiment and connection metadata to build interactive trust graphs. Users can explore network structures, identify weak links or suspicious clusters, and assign configurable risk thresholds. Customizable dashboards display live metrics and alerts, enabling proactive brand safety management, fraud detection, and reputation monitoring across digital ecosystems.
    TrustGraph AI Core Features
    • Automated trust graph generation
    • Entity relationship mapping
    • Configurable risk scoring
    • Anomaly detection engine
    • Real-time monitoring and alerts
    • Customizable dashboards
    • Data import & API integration
    • Collaboration and sharing tools
    TrustGraph AI Pro & Cons

    The Cons

    The Pros

    Open-source platform providing transparency and trust.
    Supports deployment on cloud, on-premises, or local hardware enhancing sovereignty.
    Integrates with all major LLM providers for maximum flexibility.
    Utilizes graph-driven intelligence for improved accuracy and reduced hallucinations.
    Supports containerized deployment for scalable and customizable configurations.
    Enables full control and real-time reconfiguration of AI agent parameters.
    Helps enterprises avoid vendor lock-in and provides full AI stack sovereignty.
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