Azure Databricks: Two Week Threat Detection with DNS Data PoC

Accelerate the scale of your organization's security operations with Blueprint's Threat Detection accelerator for Azure Databricks. This accelerator is a fully functional data science notebook focused on anomaly detection and designed to help customers quickly go from whiteboard to proof-of-concept (PoC) in less than two weeks on Azure Databricks.

This anomaly detection module is intended to be a key part of a customer's Network Threat Detection System (NTDS). NTDS's detect security threats to a computer network based on the recognition of unusual activity observed in the network’s traffic.

Key Benefits

• Enrich petabytes of DNS data for analytics and uncover unknown threat patterns using the scalability of Azure Databricks
• Jumpstart your threat detection experimentation with pre-built code and sample data.

To get started, download the accelerator code from our Github repository.