Databricks Announces Data Intelligence for Cybersecurity
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Data fragmentation forces risky tradeoffs for security teams
Cyberattacks are becoming more advanced and widespread as attackers adopt AI. At the same time, 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 solves these challenges for customers and provides real-time intelligence with broad visibility and rich context about the organization, built on Databricks' Lakehouse architecture. This enables security teams to detect hidden threats and respond quickly and effectively to increasingly sophisticated attacks.
Data Intelligence for Cybersecurity: Unified, AI-driven threat intelligence in real time
"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."
Empowering cybersecurity teams
Leading customers have already transformed their security operations with Data Intelligence for Cybersecurity, reporting significant gains in detection speed, threat investigation and cost reduction:
Databricks' partner ecosystem
With this release, Databricks is also introducing partner integrations with leading providers, including Abnormal AI, Accenture Federal, ActiveFence,
Alpha Level, Arctic Wolf, BigID, DataBahn, DataNimbus, Deloitte, Entrada, Obsidian Security, Panther, PointGuard AI, Rearc, SPLX, Theom, Varonis, and ziggiz, extending the power of Databricks and helping customers drive unified, measurable outcomes in their cybersecurity defense strategies.
To learn more, visit the Databricks blog and the Data Intelligence for Cybersecurity solutions and resources pages.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™,
Delta Lake, MLflow, and Unity Catalog. To learn more, follow Databricks on
X, LinkedIn and Facebook.
Contact: Press@databricks.com
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