Solution Accelerator Series | Incident Investigation Using Graphistry

[Tushar_Parekar]

Cybersecurity investigations often require sifting through large volumes of log and telemetry data to uncover the patterns and relationships behind threat activity. The Incident Investigation Using Graphistry Solution Accelerator shows how to query investigation data, visualize connections and anomalies with graph analytics, and perform investigative analysis using natural language.

With this Accelerator, you get

• Ready-to-use resources: pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook
• Query investigative patterns: use SQL, Python or Scala in Databricks notebooks, with support from the Databricks Assistant to write and debug queries.
• Visualize complex connections: use Graphistry on the Lakehouse to explore intricate relationships and anomalies.
• Investigate using natural language: perform conversational analysis with LakehouseIQ and L.O.U.I.E..
• Work with different LLM models: use the AI Gateway to switch between third-party and self-hosted models.

🔗 Launch Solution Accelerator 👈