Graphistry updates GPU graph AI suite

Graphistry's latest updates bridge the gap between traditional graph databases and AI agents by moving compute-intensive graph operations to the dataframe tier. This enables security and data teams to run high-performance graph AI pipelines without the infrastructure overhead of a dedicated graph DB.

• –GFQL (Graph Dataframe Query Language) now supports explicit schema validation and row-carrier plan metadata, improving query planning stability for large-scale graphs.
• –Louie.ai updates introduce agentic security capabilities, allowing AI agents to autonomously plan and execute incident response workflows.
• –GPU-accelerated query execution allows developers to process multi-million edge graphs on modest hardware in seconds, outperforming traditional CPU-bound pipelines.
• –The updates support seamless integration with data sources like Splunk and Apache Arrow, streamlining ETL workflows for security operations.