Databricks unveils AI-powered cybersecurity intelligence platform

Cyberattacks are growing more advanced as hackers turn to artificial intelligence. Yet many businesses still struggle to deploy AI effectively due to fragmented data systems and rigid legacy tools. Databricks says its new Data Intelligence for Cybersecurity addresses these challenges by consolidating data across an enterprise and enabling faster, AI-powered responses to threats.

The platform integrates directly with existing security stacks, offering teams the ability to spot risks earlier, view attack patterns in context, and act with greater precision. According to Omar Khawaja, Vice President of Security and Field CISO at Databricks, the launch “makes data and AI every organisation’s strongest defence strategy.”

Key features of the platform

Databricks highlighted three main components of its cybersecurity offering:

• Agent Bricks for AI security apps: Security teams can design and deploy AI agents that manage real-time threat detection and response at scale.

• Conversational dashboards: Natural language queries and real-time analytics provide both technical teams and business leaders with quick insights into ongoing incidents.

• Unified data foundation: Built on the Databricks Lakehouse architecture, the system centralises enterprise-wide security data, avoiding the vendor lock-in often seen with older Security Information and Event Management (SIEM) systems.

Early adopters report major gains

Several companies have already adopted the platform with measurable improvements.

• Arctic Wolf: Processes more than 8 trillion security events weekly and says Databricks helps it scale AI-powered detection.

• Barracuda Networks: Cut storage and processing costs by 75% and reduced detection time to under five minutes.

• Palo Alto Networks: Tripled its AI-driven threat detection speed while lowering operational expenses.

• SAP Enterprise Cloud Services: Reduced engineering time by 80% and accelerated security rule deployments by more than fivefold.

These cases, Databricks claims, demonstrate the platform’s ability to cut costs while increasing visibility and speed of response.

Expanding through partnerships

The launch also brings new integrations with partners such as Deloitte, Varonis, Accenture Federal, and Arctic Wolf. These collaborations are aimed at building joint standards for AI security and extending coverage across industries.

Amanda Satterwhite, Cyber Practice Lead at Accenture Federal Services, described the alliance as “modernising at the speed of AI and winning the data war in the federal space.” Meanwhile, Arctic Wolf’s Technology President Dan Schiappa emphasised that Databricks enables his company to unify massive datasets and improve SOC efficiency in real time.

What it means for enterprises

For organisations facing the twin challenges of growing data volumes and AI-enabled attackers, the Databricks initiative represents an effort to turn AI into a defensive tool. By bridging siloed systems and enabling adaptive AI agents, the company hopes to equip cybersecurity teams with sharper, faster, and more cost-effective responses to modern threats.