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Cybersecurity Threat DetectionTigergraph

Real-time cybersecurity threat detection using advanced graph analytics to uncover hidden attack patterns and anomalies.

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Product details

Overview

TigerGraph Cybersecurity Threat Detection is a powerful graph analytics platform designed to provide real-time detection and investigation of cyber threats. By leveraging the unique capabilities of graph databases, it models complex relationships between entities such as users, devices, applications, and network activity to identify anomalous behaviors and hidden attack patterns that traditional security tools might miss. The platform supports large-scale, high-velocity data ingestion from various sources, enabling security teams to gain deep contextual insights, accelerate incident response, and reduce false positives. It empowers security analysts with interactive visualizations and advanced query languages for exploratory and automated threat hunting across enterprise environments.

Features and Capabilities

  • Real-Time Threat Detection: Continuously monitors network and system activity, identifying suspicious patterns as they emerge.
  • Graph-Based Analytics: Models relationships between entities for advanced detection of lateral movements and multi-stage attacks.
  • High-Volume Data Ingestion: Supports integration with diverse security telemetry including logs, alerts, and event streams at scale.
  • Anomaly Detection: Utilizes machine learning and behavior analysis to spot deviations from normal activity profiles.
  • Interactive Visualizations: Provides rich graphical interfaces for exploring threat graphs and drilling down into suspicious activity.
  • Advanced Query Language (GSQL): Enables customized threat hunting queries and automation of complex detection logic.
  • Scalable Architecture: Designed for enterprise environments with distributed processing and high concurrency.
  • Incident Investigation: Correlates data across systems and timelines to reconstruct attack sequences and identify root causes.
  • Integration Flexibility: Works alongside existing security tools such as SIEMs, endpoint detection, and threat intelligence feeds.
  • Reduced False Positives: Context-aware analysis reduces noise and prioritizes actionable alerts.
  • Security Automation: Supports workflow automation for alert triage, enrichment, and response orchestration.
  • Compliance Support: Assists with auditing and reporting by preserving detailed event and investigation histories.