PuppyGraph Blog

Explore how Cyber Graphs enhance cybersecurity by detecting threats, mapping attack paths, and strengthening network security using advanced graph analytics.

Threat Graph helps cybersecurity teams to visualize, analyze, and track cyber threats in real-time. It helps organizations detect vulnerabilities, prevent attacks, and enhance security through advanced threat intelligence.

Learn how cyber threat analytics help detect, predict, and prevent threats, and enhance threat investigations with graph visualization and OTX integrations.

Learn how to run graph queries directly on Amazon S3 Tables using PuppyGraph—no ETL, no data duplication. Get real-time insights from your S3 data lake today.

Discover how cybersecurity knowledge graphs improve threat intelligence, automate security workflows, and enhance cyber defense strategies.

Discover how Cloud Security Graphs help visualize threats, detect vulnerabilities, and strengthen cloud security.

Discover the power of Gremlin, a graph traversal language in graph databases. Learn about Gremlin’s features, syntax, and real-world applications.

Explore top graph database tools designed to handle complex, interconnected data efficiently.

Explore how to integrate graph technology into big data cybersecurity analytics, improving threat detection, real-time monitoring, and incident response.

Explore the power of supply chain graphs to visualize, analyze, and optimize your supply chain operations.

Discover how SIEM graphs simplify complex security data, enhance threat detection, and accelerate incident response. Learn about real-world applications and key benefits of graph-based visualization in cybersecurity.

Discover how Enterprise Knowledge Graphs transform data integration, enhance decision-making, and drive business innovation.

Explore the world of graph algorithms with our comprehensive guide.

Embark on a journey through the intricate landscape of graph search algorithms, from classical uninformed methods like BFS and DFS to informed approaches like Dijkstra's and A*.

Explore the fundamentals of distributed graph algorithms, including how they work, their benefits, use cases, and more.