Case Study: Palo Alto Networks accelerates AI/ML innovation and strengthens cloud security with Databricks

Helping businesses keep their customers safe from cyberthreats

Palo Alto Networks, a cybersecurity company, faced data fragmentation across its Prisma Cloud platform as it expanded its cloud security, AI, and ML capabilities. Working with Databricks and the Databricks Data Intelligence Platform, the company needed a more unified way to govern data, improve analytics, and support collaboration while keeping pace with rapidly evolving cyberthreats.

Databricks implemented Unity Catalog, Delta Lake, Spark Declarative Pipelines, Databricks SQL, and autoscaling clusters to centralize data, strengthen governance, and automate real-time security data handling. The result was a more secure, efficient platform that supported real-time threat detection and security recommendations, while enabling Palo Alto Networks to iterate on AI/ML features 3x faster than with its prior solution.

Palo Alto Networks

Krishnan Narayan

Senior Distinguished Engineer