Comprehensive proactive alerts Tools for Every Need

Get access to proactive alerts solutions that address multiple requirements. One-stop resources for streamlined workflows.

proactive alerts

  • 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.
  • An AI-driven observability platform that analyzes logs, metrics, and traces for automated insights and root-cause analysis.
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    What is Klavis.ai?
    Klavis.ai is an enterprise-grade AI observability agent that unifies logs, metrics, traces, and events into a single AI-driven layer. It supports connectors for Prometheus, Elastic, Grafana, AWS CloudWatch and more. Teams can ask natural-language questions about system health, receive instant anomaly alerts, and get guided remediation steps. Its AI models correlate data across services to pinpoint failures, reduce alert noise, and proactively surface performance issues before they impact users.
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