Firehose

Databricks has completed the acquisition of Panther, combining its mature SOC workflows and software-driven detection engine with Lakewatch's open security lakehouse foundation. This integration accelerates the security lakehouse era by providing a unified platform for security, IT, and business data, enabling security teams to retain petabytes of telemetry, deploy autonomous AI agents for real-time triage, and execute detections-as-code to accelerate incident response. AI summary

Databricks has developed a reference implementation and self-deploy accelerator for agentic media buying, where autonomous buyer and seller agents transact on the platform, leveraging open standards such as IAB Tech Lab's Agentic Advertising Management Protocols (AAMP) and Databricks' Lakebase and Unity Catalog for governed data and transactional state management. AI summary

NBCUniversal migrated its data infrastructure to Databricks, achieving a 30% cost reduction through job-specific compute and unified analytics capabilities. The company implemented a phased, partner-led approach with EXL, leveraging Databricks' lakehouse architecture to support data engineering, machine learning, and advanced analytics. The migration resulted in improved operational flexibility, ease of analyst onboarding, and strategic gains, transforming the data platform into a differentiator for the company. AI summary

Databricks has made high-QPS scaling for its AI Search feature generally available, allowing standard endpoints to scale to thousands of queries per second with a single configuration parameter. This eliminates the need for replica counts, node sizing, and load balancers, enabling seamless scaling from prototype to production. AI summary

Databricks governs AI spend at scale by routing every coding agent through Unity AI Gateway, enforcing daily and monthly budgets to prevent runaway AI spend while keeping engineers productive with self-service budget increases. AI summary