Databricks unveils Data Intelligence for Cybersecurity to build AI agents securely

Databricks has launched a platform called Data Intelligence for Cybersecurity so organisations can build and deploy AI apps and agents at scale with Agent Bricks securely. The platform is integrated with an organisation’s existing security stacks, unifying all data so they can prepare for AI threats and risks earlier, understand the context behind the attack and respond quickly. 

The company’s Lakehouse architecture will draw the enterprise data together from across the organisation so security teams have a clear view of the attack removed from complicated configurations and vendor lock-ins. The cybersecurity platform also offers insights for users from intuitive dashboards, AI-powered natural language search and real-time analytics, so enterprises can prevent emerging attacks.

“With Data Intelligence for Cybersecurity, Databricks is making data and AI every organization’s strongest defense strategy,” said Omar Khawaja, VP of Security and Field CISO at Databricks. “Security teams can now gain a more accurate, governed and flexible approach to building AI agents that proactively combat today’s modern and AI-based threats.” 

Earlier in June this year, the AI and data analytics company had announced Agent Bricks, a way to automate building AI agents specifically for tasks within organisations. 

A statement shared by Databricks shared that cybersecurity clients like Arctic Wolf, Barracuda Networks, Palo Alto Networks and SAP Enterprise Cloud Services were employing the platform already. 

Databricks has also introduced partner integrations with a number of companies including Deloitte, Accenture Federal, Varonis, ActiveFence, Alpha Level, Obsidian Security, PointGuardAI and BigID. 

Last week, Databricks said they have formed a multi-year, $100 million partnership with OpenAI to make their AI models natively available within Databricks’ Data Intelligence Platform and Agent Bricks.