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.
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.
Analyze and enrich threat data in real-time with the industry-leading platform for stream data processing.
Conduct deep forensic reviews with a scalable, cost-efficient cloud platform that can analyze data stretching years into the past.
Integrate all relevant data into one platform to create a single source of truth for more thorough threat reviews.
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.
Accelerate investigations with shared workspaces for threat response teams to explore data and build visualizations in real-time together.