Databricks Acquires Panther to Advance Security Lakehouse Vision
Key Takeaways
- ▸Databricks acquires Panther to accelerate its security lakehouse vision and replace legacy SIEM systems with agentic AI workflows
- ▸Panther's platform enables automated threat detection, investigation, and response across all security data at machine scale
- ▸The platform features 100+ data integrations, detection-as-code capabilities, and AI agents for fully automated SOC workflows
Summary
Databricks announced its intent to acquire Panther, a leading AI-powered SOC (Security Operations Center) platform, marking its third security acquisition. The move accelerates Databricks' security lakehouse vision—a new category of security software designed to replace legacy SIEM systems with agentic AI-driven workflows. Panther brings automated threat detection, investigation, and response capabilities through 100+ out-of-the-box data integrations, detection-as-code functionality, and AI agents that operate at scale.
Traditional SIEM platforms were not designed for modern AI-driven threats and suffer from high costs, labor-intensive manual processes, and limited data analysis capabilities. Panther solves this by automating SOC workflows with AI agents, enabling security teams to investigate every alert and defend against sophisticated attacks. The platform is already proven in demanding, AI-native environments, with trust from organizations including Anthropic.
The acquisition builds on Databricks' Lakewatch platform, introduced earlier this year, which unifies security, IT, and business data in a single governed lakehouse for agentic detection and response. Combined with Panther's capabilities, Databricks aims to help enterprises defend against AI-driven attacks at the speed and scale of artificial intelligence itself, offering a unified alternative to fragmented legacy security infrastructure.
- This is Databricks' third security acquisition, signaling major strategic investment in AI-driven security operations
- Panther is already trusted by major organizations including Anthropic, proving effectiveness in defending AI-native environments



