Databricks on Tuesday announced the launch of Data Intelligence for Cybersecurity, a unified platform aimed at helping organisations respond to AI-driven cyber threats with real-time intelligence and governed AI systems.
The new offering integrates with enterprises’ existing security infrastructure and leverages Databricks’ Lakehouse architecture to unify fragmented data, providing security teams with contextual insights and faster detection of threats. The platform also introduces Agent Bricks, enabling organisations to build AI agents that can analyse data and execute governed actions across security workflows.
“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,” said Omar Khawaja, VP of Security and Field CISO at Databricks.
The company said the solution addresses challenges organisations face when using generic AI models and siloed data, which often result in slower responses and limited visibility. By consolidating data and enabling natural language search and real-time analytics, Databricks aims to extend security insights to both technical experts and business leaders.
Several organisations have already adopted the platform. Arctic Wolf, which processes more than 8 trillion security events weekly, reported faster innovation in AI-driven protection. Barracuda Networks recorded a 75% cut in daily processing and storage costs and introduced real-time alerting in under five minutes.
Palo Alto Networks accelerated AI-powered detection features by three times, while SAP Enterprise Cloud Services reduced engineering time by 80% and increased rule deployment speed fivefold.
Databricks also announced integrations with partners, including Abnormal AI, Accenture Federal, Arctic Wolf, Deloitte, Panther, Varonis, and others, to extend the platform’s reach.
“With Data Intelligence for Cybersecurity, Databricks is making data and AI every organisation’s strongest defence strategy,” Khawaja said.
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