Cybersecurity Analytics

Solutions

Overview

Better Protection with Real-time Analytics at Scale

In today’s digital world, cybersecurity teams need to be more vigilant than ever before. Responding quickly to potential threats requires security tools capable of analyzing billions of threat signals in real-time. Databricks offers security teams and data scientists a new hope in the battle against cyber attacks with a unified analytics platform capable of processing and analyzing petabytes of threat data in real-time.

Dominique Brezinski from Apple on Threat Detection at Scale with Apache SparkTM

Common Use Cases

REAL-TIME DETECTION

Analyze and enrich threat data in real-time with the industry-leading platform for stream data processing.

HISTORIC ANALYSIS AT SCALE

Conduct deep forensic reviews with a scalable, cost-efficient cloud platform that can analyze data stretching years into the past.

COMPREHENSIVE VIEW OF ALL THREAT DATA

Integrate all relevant data into one platform to create a single source of truth for more thorough threat reviews.

AI ASSISTED THREAT DETECTION

Provide data scientists with the tools they need to build machine learning models that help prioritize threats and identify anomalous behaviors that exist outside defined rules.

RAPID COLLABORATIVE INVESTIGATION

Accelerate investigations with shared workspaces for threat response teams to explore data and build visualizations in real-time together.