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
- Solution brief Cyber Security Analytics with Databricks
- Blog Databricks + Corelight: A powerful combination for cybersecurity
- BlogCyber Threat Detection in a Big Data World
- Webinar Enhance Detection with Big Data and AI
- Article Big Data and Cybersecurity in Practice
- Keynote Video Apple's Dominque Brezinski on Threat Detection and Response at Scale
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.