The unified platform for AI agent systems, enabling more accurate, real-time response against AI-driven threats.
Databricks has launched Data Intelligence for Cybersecurity, a solution designed to help organizations address AI-driven and complex threats. The platform integrates with existing security systems, consolidating data and using an open partner ecosystem to improve detection, context, and response times.
A key component of the release is Agent Bricks, which allows security teams to develop and deploy AI agents for specific tasks in the security workflow. These agents can analyze data and take governed actions to support incident detection and response. Dashboards, natural language search, and analytics provide both technical and non-technical users with visibility into potential threats.
Databricks states that fragmented data and generic models often hinder the effective use of AI in security operations. Its Lakehouse architecture underpins the new offering, creating a unified foundation for monitoring and detection. This enables real-time analysis of security events and helps organizations identify risks that may otherwise remain hidden.
Several organizations have reported early use cases. Arctic Wolf processes more than 8 trillion security events weekly and has incorporated Databricks to expand its platform. Barracuda Networks has reduced processing and storage costs while improving alerting speed. Palo Alto Networks reports faster deployment of AI-powered detection features, and SAP Enterprise Cloud Services has shortened engineering cycles and rule deployment times.
The release also includes integrations with partners such as Accenture Federal, Deloitte, Arctic Wolf, Varonis, and Panther, enabling combined approaches to data intelligence and security operations.