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Vulnerability Remediation Timeline Commitment

Medium severity Medium confidence Explicitdocumentlanguage Unique · 0 of 352 platforms
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Document Record

What it is

The document states that Databricks publishes vulnerability remediation timeline commitments within the Security Addendum of the customer agreement, and that the company operates automated internal vulnerability management systems.

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

ConductAtlas Analysis

Why it matters (compliance & governance perspective)

This provision references specific remediation timeline commitments as a contractual obligation, but the actual timelines are not disclosed in this public document and must be reviewed in the Security Addendum, which creates a gap in publicly verifiable security commitments.

Interpretive note: The specific remediation timeline SLAs are not reproduced in this public document and can only be assessed by reviewing the Security Addendum of the applicable customer agreement.

Consumer impact (what this means for users)

Under these terms, the specific vulnerability remediation timelines that govern how quickly Databricks addresses security flaws affecting customer data are defined in the Security Addendum rather than this public disclosure, requiring customers to consult their agreement for the operative SLAs.

Cross-platform context

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▸ View Original Clause Language DOCUMENT RECORD
"
Detecting and quickly fixing vulnerable software that you rely on is among the most important responsibilities of any software or service provider. We take this responsibility seriously and share our remediation timeline commitments in our Security Addendum. Internally, we have automated vulnerability management to effectively track, prioritize, coordinate and remediate vulnerabilities in our environment.

Excerpt from Databricks's Security Practices

ConductAtlas Analysis

Institutional analysis (regulatory & governance intelligence)

(1) REGULATORY LANDSCAPE: Vulnerability remediation timelines for software and cloud service providers engage GDPR Article 32 obligations regarding appropriate technical measures, NIST Cybersecurity Framework patch management guidance, and FedRAMP continuous monitoring requirements. The document references US-CERT and government threat intelligence feeds, indicating awareness of federal vulnerability disclosure standards. (2) GOVERNANCE EXPOSURE: Medium. The remediation timeline commitments are referenced but not disclosed in this public document, limiting external verification. Customers in regulated industries including financial services, healthcare, and federal contracting should confirm that Addendum SLAs meet their applicable regulatory patch management requirements. (3) JURISDICTION FLAGS: FedRAMP-authorized deployments are subject to specific patch management timelines prescribed by FedRAMP continuous monitoring requirements. EU customers under NIS2 Directive obligations may have additional requirements for vulnerability disclosure and remediation from their cloud service providers. (4) CONTRACT AND VENDOR IMPLICATIONS: Enterprise procurement teams should confirm that the Security Addendum's remediation timelines for Severity-0 and critical vulnerabilities are specified with measurable SLAs and that any failure to meet those timelines triggers defined notification or remediation obligations. The document states that Severity-0 vulnerabilities are treated with highest urgency and prioritized above other rollouts, but the specific timeframe is not disclosed here. (5) COMPLIANCE CONSIDERATIONS: Organizations with vendor risk management programs should confirm that Databricks' published remediation SLAs in the Security Addendum meet or exceed their internal patch management policy thresholds, and should document this confirmation as part of annual vendor security reviews.

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Applicable agencies

  • FTC
    The FTC has authority over data security practices and representations by commercial service providers, including patch management and vulnerability remediation commitments.
    File a complaint →

Provision details

Document information
Document
Databricks Security Practices
Entity
Databricks
Document last updated
May 12, 2026
Tracking information
First tracked
July 12, 2026
Last verified
July 12, 2026
Record ID
CA-P-074372
Document ID
CA-D-00839
Evidence Provenance
Source URL
Wayback Machine
Content hash (SHA-256)
0eb2a219a956e72f7703bf9fca8351c1290d0540d29bbf71e6dae3ff2897a2e6
Analysis generated
July 12, 2026 16:02 UTC
Methodology
Evidence
✓ Snapshot stored   ✓ Hash verified
Citation Record
Entity: Databricks
Document: Databricks Security Practices
Record ID: CA-P-074372
Captured: 2026-07-12 16:02:01 UTC
SHA-256: 0eb2a219a956e72f…
URL: https://conductatlas.com/platform/databricks/databricks-security-practices/provision/CA-P-074372/vulnerability-remediation-timeline-commitment/
Accessed: July 23, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.
Classification
Severity
Medium
Categories

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Frequently Asked Questions

What does Databricks's Vulnerability Remediation Timeline Commitment clause do?

This provision references specific remediation timeline commitments as a contractual obligation, but the actual timelines are not disclosed in this public document and must be reviewed in the Security Addendum, which creates a gap in publicly verifiable security commitments.

How does this clause affect you?

Under these terms, the specific vulnerability remediation timelines that govern how quickly Databricks addresses security flaws affecting customer data are defined in the Security Addendum rather than this public disclosure, requiring customers to consult their agreement for the operative SLAs.

Is ConductAtlas affiliated with Databricks?

No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Databricks.