Databricks, the Data and AI company, announced the launch of Data Intelligence for Cybersecurity, a solution designed to help organizations defend against modern and AI-driven cyber threats with enhanced accuracy, robust governance, and greater operational flexibility. The platform seamlessly integrates with existing enterprise security stacks, unifying all data and leveraging an open partner ecosystem. This allows security teams to fully harness the power of AI detecting risks earlier, understanding the full context of attacks, and responding faster. Complementing this, Databricks Agent Bricks enables enterprises to build AI applications and agents that not only analyze data accurately but also take safely governed actions across the entire security workflow.
Addressing Data Fragmentation Challenges in Cybersecurity
As cyberattacks grow increasingly sophisticated, organizations often struggle to leverage AI effectively due to generic models and fragmented data. These limitations can lead to delayed responses, restricted visibility, and elevated risks. Data Intelligence for Cybersecurity addresses these challenges by providing real-time intelligence, broad visibility, and rich contextual insights, all built on Databricks’ Lakehouse architecture. This enables security teams to detect hidden threats and respond efficiently to evolving attacks.
Key Features of Data Intelligence for Cybersecurity:
-
AI Agents for Security at Scale: Agent Bricks empowers security teams to build and deploy production-ready AI agents, delivering faster, more precise threat handling.
-
Conversational Security and Insights: Intuitive dashboards, AI-powered natural language search, and real-time analytics provide actionable security insights for both technical and non-technical stakeholders.
-
Unified Security Data Foundation: Databricks’ Lakehouse architecture consolidates enterprise data across systems, offering a comprehensive view of the attack surface without legacy SIEM limitations or vendor lock-in.
“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.”
Customer Impact and Early Adoption
Leading organizations have already realized measurable benefits with Data Intelligence for Cybersecurity, including faster threat detection, improved investigation capabilities, and operational cost savings:
-
Arctic Wolf processes over 8 trillion security events weekly and leverages Databricks to accelerate AI-driven innovation for threat protection.
-
Barracuda Networks reduced daily processing and storage costs by 75%, achieved real-time alerting under five minutes, and freed engineers to focus on new threat strategies.
-
Palo Alto Networks unified fragmented security data and accelerated AI-powered threat detection by 3x, cutting operational costs and delivering real-time insights globally.
-
SAP Enterprise Cloud Services boosted threat processing speed, reduced engineering time by 80%, and increased rule deployment speed fivefold, enhancing visibility and control.
Expanding Security Through Partner Ecosystem
Databricks has also strengthened its ecosystem with integrations from leading partners such as Abnormal AI, Accenture Federal, Arctic Wolf, DataBahn, Deloitte, Panther, Varonis, and more, helping customers achieve unified and measurable outcomes in cybersecurity.
“We’re accelerating integration with partners like Databricks to help co-engineer new standards for federal cybersecurity and secure AI. The fusion of Databricks’ Data Intelligence Platform with our deep federal expertise, delivers an advantage for cyber defenders. This is how we modernize at the speed of AI and win the data war in the federal space,” said Amanda Satterwhite, Cyber Practice Lead at Accenture Federal Services.
“Cybersecurity is increasingly a data challenge, shaped by the scale, speed, and diversity of telemetry across modern environments. The Aurora Platform processes over 8 trillion security events each week, and Databricks is part of the foundation that allows us to unify and analyze this data in real time enabling Arctic Wolf to scale the platform, accelerate AI innovation, and expand our AI-powered SOC to deliver faster threat detection, more reliable protection, and outcomes that security teams can trust,” stated Dan Schiappa, President, Technology and Services at Arctic Wolf.
“Enterprises are at a crossroads where cybersecurity must keep pace with the speed of evolving threats. Partnering with Databricks demonstrates what’s possible when AI-native pipelines converge with a modern data intelligence platform. This is not just an integration it’s the blueprint for the next era of security operations. We see security data not as something to simply store, but as a strategic resource to harness unlocking real-time insights that drive faster, smarter decisions,” said Aditya Sundararam, Chief Product Officer at DataBahn.
Also Read: Harness Expands AI DevSecOps Leadership with Acquisition of Qwiet AI
“It’s critical for businesses to integrate advanced data intelligence into cybersecurity strategies. Our alliance with Databricks helps enable organizations to fully utilize AI-driven insights, helping them transform their security operations to meet the challenges of today’s digital landscape. Together, we are paving the way for a more secure and resilient future,” added Adnan Amjad, US Cyber leader at Deloitte.
“Every organization has unique security needs and data architectures. This partnership with Databricks gives our customers unprecedented choice and flexibility whether you’re cloud-native or hybrid, we’re meeting you where you are and giving you the tools to scale security operations on your terms,” said William Lowe, CEO at Panther.
“Securing the massive datasets that fuel AI is a challenge and a necessity. Organizations rely on Databricks for scalable analytics and Varonis to continuously discover, classify, and protect sensitive data. With our integration, we have streamlined access governance and real-time threat detection across the Databricks Data Intelligence Platform. Companies can gain end-to-end visibility and proactive data security for their critical business data with Varonis and Databricks,” said David Bass, EVP of Engineering and CTO at Varonis.
