Get the weekly research letter
Companies change their terms quietly. We read every version and catch what actually changed. One email a week on the changes that matter and what they mean. No account.
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 →Monitoring
Databricks has changed this document before.
Receive same-day alerts, structured change summaries, and monitoring for up to 25 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 II CC7 system monitoring criteria. Where customer log data is processed within Databricks' internal SIEM environment, the scope of data processing under the customer's Data Processing Agreement may require evaluation. (2) GOVERNANCE EXPOSURE: Medium. The disclosure that security monitoring processes data from cloud infrastructure, devices, identity management systems, and SaaS applications raises questions about whether and to what extent customer-generated signals or metadata are included in this processing, which is not specified in this public document. (3) JURISDICTION FLAGS: EU customers under GDPR must confirm through their Data Processing Agreement whether any personal data contained in infrastructure logs or security signals is processed within this internal SIEM environment, and whether that constitutes a sub-processing activity requiring disclosure. (4) CONTRACT AND VENDOR IMPLICATIONS: Enterprise customers with strict data boundary requirements should confirm through the Security Addendum or DPA whether customer workload telemetry is isolated from Databricks' internal security monitoring infrastructure and whether any such processing is disclosed as a sub-processing activity. (5) COMPLIANCE CONSIDERATIONS: Compliance teams should evaluate whether the internal SIEM processing is addressed in Databricks' sub-processor list and whether it requires notification or consent under the applicable customer DPA, particularly for customers in financial services or healthcare with strict data handling obligations.
Full institutional analysis
Regulatory citations, enforcement risk, and due diligence action items.
Monitor: same-day alerts on the platforms you choose. Analyst: full institutional analysis.
Compliance Governance Intelligence
Need to monitor specific governance provisions?
Compliance includes provision-level monitoring, governance timelines, regulatory mapping, and audit-ready analysis.
Built from archived source documents, structured governance mappings, and historical version tracking.
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.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Databricks.