Data and artificial intelligence solutions company Databricks Inc. today announced the launch of Data Intelligence for Cybersecurity, a new solution designed to help organizations defend against modern and AI-driven threats with more accuracy, stronger governance and greater flexibility.

The offering integrates with enterprises’ existing security stacks to unify all data and leverage an open partner ecosystem, allowing security teams to harness the power of AI — spotting risks earlier, understanding the full context of an attack, and responding with greater speed.

Data Intelligence for Cybersecurity also offers Agent Bricks, a feature that allows enterprises to build AI apps and agents that not only accurately analyze their data but also take safely governed actions across every step of the security workflow.

The new solution has been created to deal with the growing issue where cyberattacks are becoming more advanced and widespread as attackers adopt AI. At the same time, Databricks argues that many organizations struggle to use AI to respond effectively because of generic models and fragmented data, leading to slower responses, limited visibility and overall higher risk.

Data Intelligence for Cybersecurity takes this issue head-on by providing real-time intelligence with broad visibility and rich context about the organization, built on Databricks’ Lakehouse architecture. The result allows security teams to detect hidden threats and respond quickly and effectively to increasingly sophisticated attacks.

Features of the new offering include the Agent Bricks service, which allows security teams to build and deploy production-ready AI agents with greater speed, accuracy and precision in handling threats. Data Intelligence for Cybersecurity also comes with intuitive dashboards, AI-powered natural language search and real-time analytics, with Databricks providing security experts and nontechnical leaders alike with instant security insights to address emerging threats.

The offering is underpinned by Databricks’ Lakehouse architecture that pulls together enterprise data across every system for a comprehensive view of the attack surface, free from legacy security information and event management limitations and vendor lock-in.

“With Data Intelligence for Cybersecurity, Databricks is making data and AI every organization’s strongest defense strategy,” explained Omar Khawaja, vice president of security and field chief information security officer 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.”

Though only broadly launching today, Data Intelligence for Cybersecurity has already been deployed by Databricks customers, including Arctic Wolf Networks Inc., Palo Alto Networks Inc. and SAP Enterprise Cloud Services, which it says have seen vast improvements in threat detection, engineering time and rule deployment.

As part of the release, Databricks is also introducing partner integrations with providers including Abnormal Security Corp., Alpha Level Inc., Arctic Wolf, BigID Inc., DataBahn Inc., Datanimbus Inc., Deloitte Touche Tohmatsu Ltd., Entrada Inc., Obsidian Security Inc., Panther Labs Inc., PointGuard AI Inc., Rearc Inc., Theom AI Inc., Varonis Systems Inc. and ziggiz Inc. The partnerships extend the powered of Databricks and help customers drive unified, measurable outcomes in their cybersecurity defense strategies.

Photo: Databricks