Databricks is buying Panther to bolster its security lakehouse platform as an alternative to legacy SIEM systems. Panther’s AI-driven SOC tools and over 100 pre-built integrations will automate threat detection, alert investigation, and response at scale.

• Databricks is acquiring Panther (price undisclosed, pending regulatory approval) to fold into its Lakewatch security lakehouse, positioning it against legacy SIEM tools that are costly, partial, and slow.
• Panther adds 100+ prebuilt integrations and AI-driven automation for threat detection, alert triage, and response, aiming to help defenders keep pace with AI-powered attacks.
• This is Databricks' third security acquisition (after Antimatter and SiftD.ai), signaling a deliberate push into AI-native security infrastructure.
• With 70% of the Fortune 500 already using Databricks, the deal extends its reach into cloud/SaaS-focused enterprise security operations.

This issue covers Databricks’ planned acquisition of Panther for AI-powered SOC threat detection and AWS’s new Continuum service that automates vulnerability discovery and fixes at machine speed. It also highlights Vercel’s secure data access tokens, Cisco and NVIDIA’s AI networking push, Iru’s config-as-code device management, Snowflake’s support for the Agentic Resource Discovery spec, and best practices against supply-chain attacks.

• Databricks is acquiring Panther to bake AI-driven threat detection directly into its data lakehouse.
• AWS Continuum automates the full vulnerability lifecycle—scanning, risk-ranking, exploit testing, and even pushing reversible patches—before human review.
• Cisco/NVIDIA's "Secure AI Factory" pushes AI infrastructure toward repeatable, secure pipelines rather than one-off GPU provisioning.
• Supply-chain risk is especially acute for small businesses due to weak vendor oversight and shared credentials, making third-party access audits critical.