The document states that Databricks uses its own platform as its security information and event management system, processing more than 9 terabytes of security telemetry daily from cloud infrastructure, devices, identity systems, and SaaS applications.
This analysis describes what Databricks's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
This provision discloses that Databricks' internal security monitoring operations run on the same platform sold to customers, processing security signals from systems that may include customer-adjacent infrastructure, which may be relevant to customers evaluating data co-mingling, sub-processor scope, or audit boundary questions.
Interpretive note: The document does not specify whether customer workload logs or infrastructure signals are included in the 9TB of daily SIEM data processed, leaving the scope of customer data involvement in internal security monitoring unclear from this public disclosure alone.
The document establishes that Databricks processes security telemetry at scale using its own platform, and customers evaluating the scope of data processing within their Databricks deployment should consider whether their workload logs or infrastructure signals are among the data types ingested into this internal security monitoring system.
Cross-platform context
See how other platforms handle SIEM and XDR Platform Using Databricks Infrastructure and similar clauses.
Compare across platforms →"We use Databricks as our SIEM and XDR platform to process over 9 terabytes of data per day for detection and security investigations. We ingest and process logs and security signals from cloud infrastructure, devices, identity management systems, and SaaS applications.Excerpt from Databricks's Security Practices
(1) REGULATORY LANDSCAPE: The use of a shared platform for both commercial customer workloads and internal security monitoring may engage GDPR Article 28 sub-processor disclosure requirements, ISO 27001 operational security controls, and SOC 2 Type …
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This provision discloses that Databricks' internal security monitoring operations run on the same platform sold to customers, processing security signals from systems that may include customer-adjacent infrastructure, which may be relevant to customers evaluating data co-mingling, sub-processor scope, or audit boundary questions.
The document establishes that Databricks processes security telemetry at scale using its own platform, and customers evaluating the scope of data processing within their Databricks deployment should consider whether their workload logs or infrastructure signals are among the data types ingested into this internal security monitoring system.
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