Cybersecurity Analytics

In the first half of 2017 over 1.9 billion enterprise data records were stolen.

In today’s digitally connected world cybersecurity teams need to be more vigilant than ever before. Modern cybercriminals deploy highly coordinated attacks spanning a wide range of tactics including malware, phishing schemes, SQL injections, DDoS attacks and more.

Responding quickly to would-be threats requires security tools capable of analyzing billions of threat signals in real-time. Unfortunately, the applications security teams have come to rely on were never intended for the petabytes of data that exist in today’s big data world nor are they cost efficient to scale. As a result, threats are going unnoticed and security teams are overwhelmed.

Better Protection with Real-time Analytics at Scale

Databricks offers security teams a new hope in the battle against cyber attacks with a scalable advanced analytics platform capable of processing petabytes of threat data in real-time. By augmenting existing cybersecurity solutions with the Databricks Unified Analytics Platform, data scientists and security analysts gain a single lens into all enterprise data and collaborative workspaces to build powerful machine learning models, leading to improved threat detection and resolution.

• Solution brief Cyber Security Analytics with Databricks
• BlogCyber Threat Detection in a Big Data World
• Webinar Enhance Detection with Big Data and AI