Source proof for Palo Alto Networks advances cybersecurity with the Databricks Data + AI Platform

Palo Alto Networks advances cybersecurity for the masses | Databricks Skip to main content Login Why Databricks Discover For App Develop…

…ase : Artificial Intelligence , Data Warehousing , Data Engineering Cloud : AWS Product : Databricks SQL , Delta Lake , Spark Declarative Pipelines , Agent Bricks , Unity Catalog Ready to get started? Try Databricks for free Learn more about our product Talk…

…d for data preparation and movement 3x Decrease in engineering development time 3x Faster iterations on AI/ML features shipped on Databricks compared with prior solution Thank you Krishnan Narayan, Senior Distinguished Engineer at Palo Alto Networks…

…n AI/ML features. Operational costs have also dropped, with Palo Alto reporting a 20% reduction in the cost of goods sold (COGS) and a 3x decrease in engineering development time. Now, their teams can deliver faster security solutions with a 50x greater scal…

…s CUSTOMER STORY Helping businesses keep their customers safe from cyberthreats 40% Reduction in time required for data preparation and movement 3x Decrease in engineering development time 3x Faster iterations on AI/ML featu…

…prior solution. Dismantling data silos and point solutions for a better product Palo Alto Networks is a known leader in cybersecurity, focused on safeguarding digital ecosystems through advanced solutions for organizations worldwide. With their Prisma Cloud product, the company planned to double down on securing…

…actful features to customers with unprecedented speed.” Share this post Details Industry : Cybersecurity , Technology and Software Use Case : Artificial Intelligence , Data Warehousing , Data Engineering Cloud…

…loud security, AI and ML integrations and a unified platform strategy. However, data fragmentation across their Prisma Cloud platform created challenges in managing governance, enhancing analytics and fostering collaboration. Tackling these hurdles, Palo Alto turned to the Databricks Data + AI Platform…

…tiative revealed substantial challenges within Palo Alto’s data infrastructure. Each Prisma Cloud module operates with its own storage mechanisms, data models and governance protocols. Inevitably, this led to data silos that hindered a cohesive security strategy,…

…h a streamlined and secure data infrastructure for their Prisma Cloud platform, Palo Alto Networks utilized Databricks’ data and AI tools, starting with Unity Catalog as a foundational component. Integrated with S3 for storage and SQL databases, Unity Catalog enabled Palo Al…

…onment, identify areas of vulnerability and recommend prioritized action plans. Delta Lake — a storage layer supporting ACID transactions — and Spark Declarative Pipelines, which automates data pipelines, provided the essential infrastructure for managing real-time information, including system configurations, threat alerts and usage patterns. Delta Lake enabled Palo Alto to maintain up-to-date digital twins, or real-time…

…d indexes for dashboards and analytics reports. While supporting these efforts, Databricks played a crucial role in Palo Alto Networks’ generative AI (GenAI) strategy, which is part of their Precision AI initiative — fully integrated with the Prisma Cloud — aimed at elevating the company’s sec…

…ta workflows and reducing the complexity of existing data processing workflows, Databricks has contributed to approximately 3x faster iterations on AI/ML features. Operational costs have also dropped, with Palo Alto reporting a 20% reduction in the cost of goods sold (COGS) and a 3x decrease in engineering development time. Now, their teams can deliver faster security solutions with a 50x greater scale…

…goods sold (COGS) and a 3x decrease in engineering development time. Now, their teams can deliver faster security solutions with a 50x greater scale capability than previous systems, marking a transformative shift in how quickly Palo Alto processes data and bri…

…ks’ streamlined platform and reduced resource consumption and onboarding times. Over 20 engineers became productive on Databricks within just two months, accelerating deployment timelines. Training efforts cut down the usual number…

…, multiple teams have freed up time to focus on application-specific use cases, which now require 40% less time in data preparation and movement across silos. Looking forward, Palo Alto Networks views Databricks as an integral part of th…

…d indexes for dashboards and analytics reports. While supporting these efforts, Databricks played a crucial role in Palo Alto Networks’ generative AI (GenAI) strategy, which is part of their Precision AI initiative — fully integrated with the Prisma Cloud — aimed at elevating the company’s sec…

…ase : Artificial Intelligence , Data Warehousing , Data Engineering Cloud : AWS Product : Databricks SQL , Delta Lake , Spark Declarative Pipelines , Agent Bricks , Unity Catalog Ready to get started? Try Databricks for free Learn more about our product Talk…

…ftware Use Case : Artificial Intelligence , Data Warehousing , Data Engineering Cloud : AWS Product : Databricks SQL , Delta Lake , Spark Declarative Pipelines , Agent Bri…

…ftware Use Case : Artificial Intelligence , Data Warehousing , Data Engineering Cloud : AWS Product : Databricks SQL , Delta Lake , Spark Declarative Pipelines , Agent Bri…

…s CUSTOMER STORY Helping businesses keep their customers safe from cyberthreats 40% Reduction in time required for data preparation and movement 3x Decrease in engineering development time 3x Faster iterations on AI/ML featu…

…ties to better serve customers. This initiative was focused on three key areas: Secure With AI, which leverages AI to proactively detect and counteract cyber threats across customer environments; Secure the AI, which safeguards Palo Alto’s AI models and data pipelines again…