Databricks Launches Data Intelligence for Cybersecurity
As cyberattacks become more advanced, attackers themselves are increasingly leveraging AI.
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[Image source: Krishna Prasad/MITSMR Middle East]
Data and AI firm Databricks has launched Data Intelligence for Cybersecurity, a new platform designed to help organizations defend against increasingly sophisticated and AI-powered cyber threats with higher accuracy, stronger governance, and greater flexibility.
The solution integrates seamlessly with enterprises’ existing security stacks, unifying data and leveraging an open partner ecosystem so that security teams can harness AI more effectively, spotting risks earlier, understanding the full context of an attack, and responding with greater speed.
Building on this foundation, Databricks Agent Bricks enables enterprises to create AI apps and agents that can not only analyze security data with precision but also take safely governed actions across every step of the security workflow.
As cyberattacks become more advanced, attackers themselves are increasingly leveraging AI. Many organizations, however, struggle to deploy AI effectively because of fragmented data and generic models, leading to slower responses, limited visibility, and greater risk.
Databricks’ new platform addresses this by providing real-time intelligence with broad visibility and deep context about an organization’s security landscape, all powered by its Lakehouse architecture. This unified foundation allows teams to detect hidden threats and respond faster to sophisticated attacks.
Omar Khawaja, VP of Security and Field CISO at Databricks, said, “With Data Intelligence for Cybersecurity, Databricks is making data and AI every organization’s strongest defense strategy. 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.”
The new platform comes with a set of features designed to strengthen enterprise security. Agent Bricks enables security teams to build and deploy production-ready AI agents that can handle threats with greater speed and precision. It also offers conversational security insights through natural language search, real-time analytics, and intuitive dashboards, making it easier for both technical experts and business leaders to gain instant visibility into emerging threats. At the foundation, Databricks’ industry-leading Lakehouse architecture unifies enterprise-wide data, overcoming legacy SIEM limitations and freeing organizations from vendor lock-in to deliver a more comprehensive view of the attack surface.
Several leading enterprises are already experiencing significant improvements with Databricks’ Data Intelligence for Cybersecurity. Arctic Wolf, which processes over 8 trillion events weekly, uses the platform to unify and analyze data in real time, accelerating its AI-powered security operations. Barracuda Networks achieved a 75% reduction in daily processing and storage costs while enabling real-time alerts in under five minutes.
Palo Alto Networks accelerated its AI-powered threat detection features by three times, reducing costs and improving visibility across its global cloud ecosystem. Meanwhile, SAP Enterprise Cloud Services cut engineering time by 80% and increased rule deployment speeds more than fivefold, gaining speed, visibility, and full control over its data.
Databricks also announced new integrations with a wide range of partners, including Accenture Federal, Deloitte, Arctic Wolf, Varonis, Panther, DataBahn, Obsidian Security, and Abnormal AI, among others. These collaborations extend the reach of Databricks’ platform and deliver measurable cybersecurity outcomes.
