Databricks Inc. Security Assessment
Security & Compliance
Databricks is an AI cloud data platform that interacts with corporate information stored in the public cloud.
9-Dimension Security Framework
Identity & Access Management
Compliance & Certification
AI Integration Security
NEWAPI Security
Infrastructure Security
Data Protection
Vulnerability Management
Breach History
Incident Response
AI Integration Security Assessment (9th Dimension)
Assess whether SaaS applications are safe for AI agent integration using Anthropic's Model Context Protocol (MCP) standards. Identify Shadow AI risks before they become breaches and make safer AI tool decisions than your competitors.
Last updated: January 16, 2026 at 07:02 AM
Assessment Transparency
See exactly what data backs this security assessment
Data Coverage
5/8 security categories assessed
Score based on 5 of 8 categories. Missing categories could not be assessed due to lack of public data or vendor restrictions.
Evaluation Friction
Evaluation friction estimates how long it typically takes to fully evaluate this vendor's security practices, from initial contact to complete assessment.
2 Data Sources Blocked
This vendor is actively blocking 2 automated data collection sourcesthrough bot protection, authentication requirements, or access restrictions.
What this means: The security assessment may be incomplete because the vendor is restricting access to public security information. Manual verification may be required during procurement.
Security Documentation
These documents were discovered during automated assessment and may contain additional security information not reflected in the score.
Transparency indicators show data completeness and vendor accessibility
AI Integration Security
🔒 9th DimensionAssess whether Databricks Inc. is safe for AI agent integration. Identify Shadow AI risks before they become breaches using Anthropic's Model Context Protocol (MCP) standards.
AI Readiness
Infrastructure for AI integration
AI Security
Safety controls for AI agents
Essential Security Analysis
Based on available security assessment data
Compliance & Certifications
AI Integration Security Assessment
Industry-first assessment evaluating whether Databricks Inc. is safe and ready for AI agent integration. Covers AI security controls and readiness infrastructure for Anthropic's Model Context Protocol (MCP).
AI Integration Security
Industry-first assessment for AI agent safety
✅Excellent Security Features
- ●Databricks OAuth supports secure credentials and access for resources and operations at the Databricks workspace level and supports fine-grained permissions for authorization.
- ●Each access token is valid for one hour, after which a new token is automatically requested.
- ●Unified client authentication automates token generation and refresh. After a user signs in and grants consent, OAuth issues an access token for the CLI, SDK, or other tool to use on the user's behalf. Each access token is valid for one hour, after which a new token is automatically requested.
- ●Service principal: For automated CLI commands and API calls without human interaction... Use service principals to run administrative tasks and production workloads
- ●Leverage multi-factor authentication... Configure multi-factor authentication Set up multi-factor authentication for enhanced security... Users who have been selected for emergency access can use a username and password and a security key to log in.
- ●The region and corresponding geography where your Foundation Model API requests are processed depends on your workspace region and the specific model being used... If your workspace is in a Model Serving region but not a US or EU region, your workspace must be enabled for cross-Geo data processing.
- ●The General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) are privacy and data security regulations... This article guides you through how to implement RTBF on data stored in Databricks... Delta Lake speeds up point deletes in large data lakes with ACID transactions, allowing you to locate and remove personally identifiable information (PII) in response to consumer GDPR or CCPA requests.
- ●In Databricks, there are different access control systems for different securable objects... Workspace-level securable objects: Access control lists. Account-level securable objects: Account role based access control. Data securable objects: Unity Catalog... Implement fine-grained access controls
- ●Restrict cluster creation rights... Use compute policies... Restrict workspace admins... Manage access according to the principle of least privilege... Configure branch protection rules to prevent accidental modifications or deletions of critical branches
- ●Control & monitor workspace... Enhanced security monitoring: Enhanced security monitoring provides the workspace with an enhanced hardened host OS image and additional security monitoring agents to improve your threat detection capabilities.
⚠️Security Gaps & Recommendations
- ●No training opt out
- ●No ai attribution
- ●No webhooks
- ●No documented opt-out mechanism for AI training on customer data
- ●No AI attribution tagging for API requests
- ●Webhooks for security event notifications not documented
AI Integration Security evaluates whether Databricks Inc. is safe for AI agent access. This assessment considers authentication strength, access controls, observability capabilities, and data privacy protections when APIs are accessed by AI systems like Claude Code, GitHub Copilot, or custom AI agents.
AI Readiness Assessment
Evaluates readiness for AI agent integration
Official or community MCP server support
API docs, SDKs, code examples
API reference, auth flows, error handling
MCP Server Available
communityDatabricks Inc. supports Anthropic's Model Context Protocol (MCP) for secure AI agent integration.
View MCP Server💡Recommendations
- →⚠️ Official MCP server not found. Best alternative: https://github.com/modelcontextprotocol/servers (Trust: 50/100)
- →⚠️ ⚠️ Use with caution - review code before use
- →⚠️ Limited AI capabilities - consider alternatives
AI Readiness measures whether Databricks Inc.provides the infrastructure and developer resources necessary for secure AI agent integration. High readiness indicates official MCP server support, comprehensive API documentation, and developer-friendly tools.
API Intelligence
Transparency indicators showing API availability and access requirements for Databricks Inc..
API Intelligence
API intelligence structure found but no operations extracted. May require manual review.
Incomplete API Intelligence
Our automated extraction found API documentation but couldn't extract specific operations. This may require manual review or vendor assistance.
View Vendor DocumentationAI-Powered Stakeholder Decision Analysis
LLM-generated security perspectives tailored to CISO, CFO, CTO, and Legal stakeholder needs. All analysis is grounded in verified API data with zero fabrication.
Security Posture & Operational Capabilities
Comprehensive assessment of Databricks Inc.'s security posture, operational maturity, authentication capabilities, security automation APIs, and breach intelligence.
Operational Data Not Yet Assessed
We haven't collected operational maturity data for Databricks Inc. yet.
Authentication Data Not Yet Assessed
We haven't collected authentication and authorization data for Databricks Inc. yet.
Security Automation APIs
Programmatic user management, data operations, and security controls
Frequently Asked Questions
Common questions about Databricks Inc.
While API references delve into the technical details of individual functions, API documentation offers a more holistic perspective. It includes the API reference information but expands upon it with additional explanations, usage guidelines, and best practices.
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Reference Documentation: This type of API documentation typically offers a detailed overview of each endpoint, outlining its methods, parameters, and supported data types. It also explains in simple terms the purpose of each endpoint and how it should be used.
Source: Search insights from Google, Bing
At minimum, an API reference should contain a guide called "Using the name-of-api", which will provide a basic guide to how to use the API. More complex APIs may require multiple usage guides to explain how to use different aspects of the API.
Source: Search insights from Google, Bing
The workspace URL for web application and REST APIs is <deployment-name>. cloud.databricks.com .
Source: Search insights from Google, Bing
Compare with Alternatives
How does Databricks Inc. stack up against similar applications in Security & Compliance? Click column headers to sort by different criteria.
| Application | Overall ScoreScore↓ | Grade | AI Security 🤖AI 🤖⇅ | Action |
|---|---|---|---|---|
Databricks Inc.Current | 53/100🏆 | B | 85/100 | |
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35/100 | D+ | N/A | View ProfileView | |
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23/100 | F | N/A | View ProfileView |
Security Comparison Insight
1 alternative(s) have higher overall security scores. Review the comparison to understand security tradeoffs for your specific requirements.