Free scan
Databricks
databricks.com
Automated, point-in-time. Not independently reviewed or approved by TRUSTYCYBER unless expressly stated.
TrustyCyber Score
57 / 100C
Procurement decision
Approve with conditions
2 conditions outstanding
- No clear commitment that your data will not train their models
- Data retention window not stated
See Before you sign, with what to ask for ↓
Evidence MediumFreshness CurrentVerification Partial
Scanned Oct 21, 2026 · Public evidence · Point-in-time
Higher scores indicate stronger, independently supported AI assurance, governance, AI systems, models, data, supply chain and third-party assurance evidence. The score and the decision are related but different: a well-scored vendor can still carry conditions.
Before you sign
No clear commitment that your data will not train their modelsCondition
Why it matters: The public sources scanned do not clearly state that customer prompts, files, and outputs are excluded from training or fine-tuning of first- or third-party models.
What to ask for: Get a no-training clause covering first- and third-party models into the DPA/order form.
Evidence
“Databricks shall not process, retain, use, or disclose Customer Personal Data for any purpose other than for the purposes set out in the Agreement, DPA and as permitted under the CCPA. Databricks shall not sell or share information as those terms are defined under the CCPA.”
Data retention window not statedCondition
Why it matters: The public sources scanned do not give a retention period for customer data or prompts/outputs.
What to ask for: Get retention windows, in days, in writing.
Evidence
“Upon termination or expiration of the Agreement and following Customer’s written request, Databricks will delete or assist Customer in deleting any Customer Personal Data within its possession or control within thirty (30) days following such request.”
Buyer questionsanswered only from the public evidence scanned, click a row for the answer
!Will they train on your data?Ask the vendor
The DPA's CCPA clause restricts Databricks from processing, retaining, using or disclosing Customer Personal Data for any purpose beyond the Agreement, and prohibits selling or sharing it. No collected document states explicitly whether Customer Content is or is not used to train or improve Databricks' own models or AI features; this purpose limitation is the closest statement and is scoped to personal data.
Requires written confirmation, see Before you sign ↓
Evidence
“Databricks shall not process, retain, use, or disclose Customer Personal Data for any purpose other than for the purposes set out in the Agreement, DPA and as permitted under the CCPA. Databricks shall not sell or share information as those terms are defined under the CCPA.”
!How long do they keep your data?Ask the vendor
On termination or expiry, and following the customer's written request, Databricks will delete or assist in deleting Customer Personal Data in its possession within 30 days. Customers also have in-service controls to retrieve or delete data at any time during the term.
Requires written confirmation, see Before you sign ↓
Evidence
“Upon termination or expiration of the Agreement and following Customer’s written request, Databricks will delete or assist Customer in deleting any Customer Personal Data within its possession or control within thirty (30) days following such request.”
!Who else can access your data?Ask the vendor
Databricks' public subprocessor register lists Anthropic, PBC and OpenAI, L.L.C. as third-party subprocessors for 'AI-backed services', entity country United States, processing location 'Customer Selected'. The register does not say which Databricks products or features send data to them.
Confirm in writing: Ask the vendor to state this in writing before signing.
Evidence
“Anthropic, PBC AI-backed services United States Customer Selected Anthropic Resources OpenAI, L.L.C. AI-backed services United States Customer Selected OpenAI resources”
“Amazon Web Services, Inc. Cloud Service Provider United States Customer Selected﹢ AWS Resources Google LLC Cloud Service Provider United States Customer Selected﹢ Google Resources Microsoft Corporation Cloud Service Provider United States Customer Selected﹢ Microsoft resources Oracle Corporation Cloud Service Provider United States Customer Selected﹢ Oracle resources”
“Twilio Inc. Provide customer communications, including in-product messaging and email. United States See Subprocessor Resources Twilio Resources Atlassian Pty Ltd. Customer support and ticket handling. Australia See Subprocessor Resources Atlassian Subprocessor link Microsoft Corporation Customer support (in Microsoft Teams). United States See Subprocessor Resources Microsoft resources salesforce.com, inc. Customer support ticketing. United States See Subprocessor Resources Salesforce Resources Slack Technologies, Inc. Customer support. United States See Subprocessor Resources Salesforce Resources SupportLogic, Inc. Monitor quality of service in responding to support tickets.”
!Where is your data processed?Ask the vendor
Designated Services are processed on a geo basis consistent with the customer's selected cloud region, but the register's footnote allows processing location to also be the end users' location, the subprocessor's entity country, or locations in the subprocessor's own resources.
Confirm in writing: Ask the vendor to state this in writing before signing.
Evidence
“✧The processing location may be Customer’s selected region, the location of the customer’s end users, Entity Country and/or the locations listed in the Subprocessor resources. ﹢ Designated Services are processed on a Geo basis consistent with the customer’s selected region.”
!What happens in a security incident?Ask the vendor
Databricks commits to notify the customer in writing without undue delay and no later than 72 hours after becoming aware of a Security Breach, to contain, investigate and mitigate, and to assist with regulator or data-subject notifications.
Confirm in writing: Ask the vendor to state this in writing before signing.
Evidence
“In the event of a Security Breach, Databricks will (a) notify Customer in writing without undue delay and in no event later than seventy-two (72) hours after becoming aware of the Security Breach; and (b) promptly take reasonable steps to contain, investigate, and mitigate any adverse effects resulting from the Security Breach.”
Email to send the vendor8 items to confirm in writing
Subject: Supplier assessment: written confirmation requested
Hello Databricks team, We are assessing Databricks as part of our supplier review. Before we proceed, please confirm the following in writing: 1. Do you use our data (inputs, outputs or uploaded files) to train or improve your models? Please confirm in writing, including any opt-out and whether it applies to every plan. 2. How long do you retain our data, in days, for each type (inputs, outputs, logs and backups), and how is it deleted? 3. Please provide your current, dated subprocessor list and explain how you notify customers of changes. 4. In which countries and regions is our data processed and stored, and can processing be limited to a region we choose? 5. What is your commitment to notify customers of a security incident affecting our data, including the timeframe? 6. Please supply the current DPA amendment and any AI-specific terms or model deprecation policy that apply to Mosaic AI, Model Serving and Agent Bricks. 7. Atlassian appears to be involved as a service provider: confirm whether this dependency exists, and whether it processes customer data. 8. AWS appears to be involved as a platform provider: confirm whether this dependency exists, and whether it processes customer data. A written reply to each point, or a link to where it is documented, is enough. Where a point is covered by a certification or independent report, please include the certificate number or the report and its date. Thank you,
Audit evidence: a verified report maps its findings to ISO/IEC 27001 supplier controls, ISO/IEC 42001 third-party controls and APRA CPS 230. See verified reports →
Key findingsclick a row for the evidence
✓Public DPA and dated subprocessor register give concrete contractual commitmentsStrong
Databricks publishes its DPA, a subprocessor register (last updated 9 June 2026) with a change-notification subscription, 30-day advance notice of new subprocessors with an objection right, 72-hour breach notification, deletion within 30 days of a post-termination request, and a public security.txt with a HackerOne bug bounty.
These are enforceable, specific commitments rather than marketing language, and the register already names the AI providers (Anthropic, OpenAI) in the processing chain, which many AI platform vendors omit.
Evidence
“Anthropic, PBC AI-backed services United States Customer Selected Anthropic Resources OpenAI, L.L.C. AI-backed services United States Customer Selected OpenAI resources”
“Amazon Web Services, Inc. Cloud Service Provider United States Customer Selected﹢ AWS Resources Google LLC Cloud Service Provider United States Customer Selected﹢ Google Resources Microsoft Corporation Cloud Service Provider United States Customer Selected﹢ Microsoft resources Oracle Corporation Cloud Service Provider United States Customer Selected﹢ Oracle resources”
“At least thirty (30) calendar days prior to the date on which any new Subprocessor shall commence processing Customer Personal Data, Databricks shall update the Subprocessor List and provide Customer with notice of that update.”
“Upon termination or expiration of the Agreement and following Customer’s written request, Databricks will delete or assist Customer in deleting any Customer Personal Data within its possession or control within thirty (30) days following such request.”
“In the event of a Security Breach, Databricks will (a) notify Customer in writing without undue delay and in no event later than seventy-two (72) hours after becoming aware of the Security Breach; and (b) promptly take reasonable steps to contain, investigate, and mitigate any adverse effects resulting from the Security Breach.”
“Contact: [email protected] Encryption: https://www.databricks.com/.well-known/pgp-key.txt Preferred-Languages: en Canonical: https://www.databricks.com/.well-known/security.txt Hiring: https://www.databricks.com/company/careers/open-positions?department=security&location=all Bug Bounty: https://hackerone.com/databricks”
“Data Processing Addendum Amendment to Data Processing Addendum EU Data Act Addendum Privacy Notice International Data Transfers FAQ Databricks Subprocessors Cookie Notice Applicant Privacy Notice”
“Twilio Inc. Provide customer communications, including in-product messaging and email. United States See Subprocessor Resources Twilio Resources Atlassian Pty Ltd. Customer support and ticket handling. Australia See Subprocessor Resources Atlassian Subprocessor link Microsoft Corporation Customer support (in Microsoft Teams). United States See Subprocessor Resources Microsoft resources salesforce.com, inc. Customer support ticketing. United States See Subprocessor Resources Salesforce Resources Slack Technologies, Inc. Customer support. United States See Subprocessor Resources Salesforce Resources SupportLogic, Inc. Monitor quality of service in responding to support tickets.”
!No explicit statement on training with customer contentGap
None of the collected documents says whether Customer Content (prompts, outputs, data in the lakehouse) is used to train, fine-tune or improve Databricks' own models or AI features. The nearest commitment is the DPA's CCPA purpose-limitation clause, which is scoped to Customer Personal Data. The product pages describe customers tuning agents on their own data, which is a different question.
For a platform that hosts Model Serving, AI Gateway and Agent Bricks, buyers need a direct no-training commitment covering all Customer Content, not only personal data under one US statute. Absence of a statement is not evidence of training, but it leaves the question open.
Question for vendor: Please confirm in writing whether any Customer Content, including prompts, completions and data processed by Model Serving, AI Gateway, Agent Bricks or AI/BI features, is used to train or improve Databricks models or those of its AI subprocessors, and point to the contractual clause that governs this.
Evidence
“Databricks shall not process, retain, use, or disclose Customer Personal Data for any purpose other than for the purposes set out in the Agreement, DPA and as permitted under the CCPA. Databricks shall not sell or share information as those terms are defined under the CCPA.”
“process the Customer Personal Data as necessary to perform its obligations under the Agreement, and only in accordance with Customer’s documented instructions (as set forth in the Agreement, in this DPA, or as directed by the Customer or Customer’s Authorized Users through the Databricks Services).”
“A unified platform for building AI agent systems Stop relying on generic AI models. Databricks has the tools to build agent systems that deliver accurate, data-driven results.”
!Anthropic and OpenAI are in the chain, but which features route to them is not disclosedGap
The subprocessor register lists Anthropic and OpenAI for 'AI-backed services' with processing location 'Customer Selected', and the AI Gateway page names OpenAI GPT-4, Meta Llama 3 and Anthropic Claude 3 as models customers can manage. Neither page says which Databricks features send data to these providers by default, whether this is opt-in, what retention terms apply at the provider, or how a customer-selected region constrains a US-based AI provider.
A buyer cannot assess data recipients or residency for AI workloads without knowing which features invoke third-party models and under what terms. The register footnote also permits processing in the subprocessor's entity country, which may be outside the selected region.
Question for vendor: Which Databricks products and features send Customer Content to Anthropic or OpenAI, is that routing opt-in or default, what retention and training terms apply at the provider, and how is in-region processing enforced for those calls?
Evidence
“Anthropic, PBC AI-backed services United States Customer Selected Anthropic Resources OpenAI, L.L.C. AI-backed services United States Customer Selected OpenAI resources”
“Agent Bricks AI Gateway allows you to manage models like OpenAI GPT-4, Meta Llama 3, Anthropic Claude 3, etc., that work for your use case. You can further fine-tune or build your own custom models — from predictive models to custom LLMs.”
“✧The processing location may be Customer’s selected region, the location of the customer’s end users, Entity Country and/or the locations listed in the Subprocessor resources. ﹢ Designated Services are processed on a Geo basis consistent with the customer’s selected region.”
!Independent assurance referenced but not named on the collected pagesGap
The Trust Center says Databricks holds 'certifications and attestations' and the DPA says annual independent audits are performed to ISO 27001 or equivalent standards, but the Security Addendum that lists them was not collected and no certificate, auditor, scope or validity date appears in the collected set. The page collected under 'Certification' is the professional training and badging programme, not a compliance page. FedRAMP High on AWS GovCloud appears only as a blog URL slug.
Without named certifications and scopes, a buyer cannot tell which products and regions are inside any audit boundary, nor whether AI-specific attestations (for example ISO/IEC 42001) exist. The DPA's wording ('ISO 27001 standards or substantially equivalent') is an audit basis, not a certification claim.
Question for vendor: Please provide the current list of certifications and attestations with issuer, scope (products, regions, cloud providers) and validity, and state whether any attestation covers Mosaic AI / Model Serving / Agent Bricks specifically.
Evidence
“Such audits are performed (a) at least once annually; (b) according to ISO 27001 standards or such other alternative standards that are substantially equivalent to ISO 27001; and (c) by independent third party security professionals selected by Databricks.”
Vendor publishedDatabricks Trust: Ensuring Security, Privacy, & Compliance | Databricks ↗retrieved Oct 20, 2026
“We have the certifications and attestations to meet the unique compliance needs of highly regulated industries.”
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!Collected DPA (v3, July 2023) predates the AI subprocessors and may be amendedGap
The DPA collected is version 3 dated 21 July 2023. The subprocessor register (June 2026) and the AI product pages describe Anthropic and OpenAI processing and agent features that postdate it, and the Legal page lists an 'Amendment to Data Processing Addendum' and an 'EU Data Act Addendum' that were not collected. Change-management evidence is limited to subprocessor notice and a no-material-diminution clause; no model-version or AI-feature deprecation policy was found.
Commitments relevant to AI features (training, retention at AI providers, model changes) may sit in the amendment or in product documentation rather than in the DPA assessed here, so this assessment may understate or misstate current terms.
Question for vendor: Please supply the current DPA amendment and any AI-specific terms or model deprecation policy that apply to Mosaic AI, Model Serving and Agent Bricks.
Evidence
“Databricks may update this DPA from time to time, with such updated version posted to http://databricks/dpa or a successor website designated by Databricks; provided, however, that no such update shall materially diminish the privacy or security of Customer Personal Data.”
“Data Processing Addendum Amendment to Data Processing Addendum EU Data Act Addendum Privacy Notice International Data Transfers FAQ Databricks Subprocessors Cookie Notice Applicant Privacy Notice”
“The Security Measures are subject to technical progress and development and Databricks may update the Security Measures, provided that any updates shall not materially diminish the overall security of Customer Personal Data or the Databricks Services.”
“At least thirty (30) calendar days prior to the date on which any new Subprocessor shall commence processing Customer Personal Data, Databricks shall update the Subprocessor List and provide Customer with notice of that update.”
?Technical dependency observed: AtlassianObservation
Technical evidence (DNS, certificate, or HTTP) shows a dependency on Atlassian as a service provider. This dependency is not identified in the vendor's published materials.
An undisclosed provider dependency is exactly the gap independent verification exists to surface.
Question for vendor: Verification required — Atlassian appears to be involved as a service provider: confirm whether this dependency exists, and whether it processes customer data.
Evidence
“Agent Bricks AI Gateway allows you to manage models like OpenAI GPT-4, Meta Llama 3, Anthropic Claude 3, etc., that work for your use case. You can further fine-tune or build your own custom models — from predictive models to custom LLMs.”
“Anthropic, PBC AI-backed services United States Customer Selected Anthropic Resources OpenAI, L.L.C. AI-backed services United States Customer Selected OpenAI resources”
“Amazon Web Services, Inc. Cloud Service Provider United States Customer Selected﹢ AWS Resources Google LLC Cloud Service Provider United States Customer Selected﹢ Google Resources Microsoft Corporation Cloud Service Provider United States Customer Selected﹢ Microsoft resources Oracle Corporation Cloud Service Provider United States Customer Selected﹢ Oracle resources”
“Twilio Inc. Provide customer communications, including in-product messaging and email. United States See Subprocessor Resources Twilio Resources Atlassian Pty Ltd. Customer support and ticket handling. Australia See Subprocessor Resources Atlassian Subprocessor link Microsoft Corporation Customer support (in Microsoft Teams). United States See Subprocessor Resources Microsoft resources salesforce.com, inc. Customer support ticketing. United States See Subprocessor Resources Salesforce Resources Slack Technologies, Inc. Customer support. United States See Subprocessor Resources Salesforce Resources SupportLogic, Inc. Monitor quality of service in responding to support tickets.”
?Technical dependency observed: AWSObservation
Technical evidence (DNS, certificate, or HTTP) shows a dependency on AWS as a platform provider. This dependency is not identified in the vendor's published materials.
An undisclosed provider dependency is exactly the gap independent verification exists to surface.
Question for vendor: Verification required — AWS appears to be involved as a platform provider: confirm whether this dependency exists, and whether it processes customer data.
Evidence
“Agent Bricks AI Gateway allows you to manage models like OpenAI GPT-4, Meta Llama 3, Anthropic Claude 3, etc., that work for your use case. You can further fine-tune or build your own custom models — from predictive models to custom LLMs.”
“Anthropic, PBC AI-backed services United States Customer Selected Anthropic Resources OpenAI, L.L.C. AI-backed services United States Customer Selected OpenAI resources”
“Amazon Web Services, Inc. Cloud Service Provider United States Customer Selected﹢ AWS Resources Google LLC Cloud Service Provider United States Customer Selected﹢ Google Resources Microsoft Corporation Cloud Service Provider United States Customer Selected﹢ Microsoft resources Oracle Corporation Cloud Service Provider United States Customer Selected﹢ Oracle resources”
“Twilio Inc. Provide customer communications, including in-product messaging and email. United States See Subprocessor Resources Twilio Resources Atlassian Pty Ltd. Customer support and ticket handling. Australia See Subprocessor Resources Atlassian Subprocessor link Microsoft Corporation Customer support (in Microsoft Teams). United States See Subprocessor Resources Microsoft resources salesforce.com, inc. Customer support ticketing. United States See Subprocessor Resources Salesforce Resources Slack Technologies, Inc. Customer support. United States See Subprocessor Resources Salesforce Resources SupportLogic, Inc. Monitor quality of service in responding to support tickets.”
Assurance dimensionsweighted components of one score, not eight separate ratings
Organisation & AI governance15% of the score40
Governance & accountability
PartialWho owns AI risk: policies, responsible-AI principles, human oversight and administrative controls.
Assessed against ISO 42001 · NIST AI RMF · AIUC-1
Evidence: Governance & accountability
“Senior Director and Associate General Counsel, Product, IP and Privacy, [email protected]”
Vendor publishedDatabricks Trust: Ensuring Security, Privacy, & Compliance | Databricks ↗retrieved Oct 20, 2026
“Databricks believes that the advancement of AI relies on building trust in intelligent applications by following responsible practices in the development and use of AI.”
“You can govern and apply guardrails across all AI models, including the ones hosted outside Databricks. It automatically enforces proper access controls, sets rate limits, prevents harmful content and tracks lineage from data to deployment.”
AI system15% of the score47
AI system description
PartialWhat AI the vendor actually runs and where it sits in the product, the map everything else is judged against.
Assessed against ISO 42001 · NIST AI RMF
Evidence: AI system description
“A unified platform for building AI agent systems Stop relying on generic AI models. Databricks has the tools to build agent systems that deliver accurate, data-driven results.”
“Databricks offers an end-to-end set of tools that cover agent creation, deployment, evaluation and governance. These include Agent Bricks for building agents grounded in enterprise data, Document Intelligence for parsing and classifying enterprise documents, Unity Gateway for controlling access, security and cost across models and agents, and AI Search, a vector database with real-time syncing of source data.”
“Agent Bricks AI Gateway allows you to manage models like OpenAI GPT-4, Meta Llama 3, Anthropic Claude 3, etc., that work for your use case. You can further fine-tune or build your own custom models — from predictive models to custom LLMs.”
Testing & evaluation
PartialHow AI features are evaluated before and after release, evals, red-teaming, monitoring.
Assessed against NIST GenAI · NIST AI RMF · ISO 42001
Evidence: Testing & evaluation
Vendor publishedDatabricks Trust: Ensuring Security, Privacy, & Compliance | Databricks ↗retrieved Oct 20, 2026
“See how we secure the platform through industry-leading practices including penetration testing, vulnerability management and secure software development to protect the Databricks Data + AI Platform.”
“Databricks MLflow provides built-in evaluation for agents using any combination of GenAI and ML models. It measures output quality with AI-assisted judges that grade responses and allow human experts to give peer feedback. If quality issues are found, you can trace the root cause, evaluate fixes and redeploy quickly.”
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Change management
PartialHow changes to models and AI features are controlled and communicated: versioning, notice, rollback.
Assessed against ISO 27001 · ISO 42001
Evidence: Change management
“At least thirty (30) calendar days prior to the date on which any new Subprocessor shall commence processing Customer Personal Data, Databricks shall update the Subprocessor List and provide Customer with notice of that update.”
“The Security Measures are subject to technical progress and development and Databricks may update the Security Measures, provided that any updates shall not materially diminish the overall security of Customer Personal Data or the Databricks Services.”
“Databricks may update this DPA from time to time, with such updated version posted to http://databricks/dpa or a successor website designated by Databricks; provided, however, that no such update shall materially diminish the privacy or security of Customer Personal Data.”
AI system description: vendor-evidenced, not yet independently corroborated.
Model10% of the score40
Model & provider transparency
PartialWhich model providers and versions process customer data, and how changes to them are disclosed.
Assessed against NIST GenAI · ISO 42001
Evidence: Model & provider transparency
“Agent Bricks AI Gateway allows you to manage models like OpenAI GPT-4, Meta Llama 3, Anthropic Claude 3, etc., that work for your use case. You can further fine-tune or build your own custom models — from predictive models to custom LLMs.”
“Anthropic, PBC AI-backed services United States Customer Selected Anthropic Resources OpenAI, L.L.C. AI-backed services United States Customer Selected OpenAI resources”
Customer data15% of the score52
Customer data treatment
PartialWhether customer data trains models, how long it is retained, where it is processed, and how it is protected.
Assessed against ISO 27018 · OAIC APPs · EU AI Act
Evidence: Customer data treatment
“process the Customer Personal Data as necessary to perform its obligations under the Agreement, and only in accordance with Customer’s documented instructions (as set forth in the Agreement, in this DPA, or as directed by the Customer or Customer’s Authorized Users through the Databricks Services).”
“Databricks shall not process, retain, use, or disclose Customer Personal Data for any purpose other than for the purposes set out in the Agreement, DPA and as permitted under the CCPA. Databricks shall not sell or share information as those terms are defined under the CCPA.”
“Upon termination or expiration of the Agreement and following Customer’s written request, Databricks will delete or assist Customer in deleting any Customer Personal Data within its possession or control within thirty (30) days following such request.”
“The Databricks Services do not include backup services or disaster recovery for Customer Personal Data. Databricks does provide functionality within the Databricks Services that may permit Customer to backup certain Customer Personal Data on its own. It is the Customer's obligation to backup any Customer Personal Data if desired.”
“✧The processing location may be Customer’s selected region, the location of the customer’s end users, Entity Country and/or the locations listed in the Subprocessor resources. ﹢ Designated Services are processed on a Geo basis consistent with the customer’s selected region.”
AI supply chain10% of the score75
Subprocessors & supply chain
CoveredThe named chain of AI and infrastructure providers behind the product, and how it is disclosed.
Assessed against ISO 27001 · ISO 27017
Evidence: Subprocessors & supply chain
“Anthropic, PBC AI-backed services United States Customer Selected Anthropic Resources OpenAI, L.L.C. AI-backed services United States Customer Selected OpenAI resources”
“Amazon Web Services, Inc. Cloud Service Provider United States Customer Selected﹢ AWS Resources Google LLC Cloud Service Provider United States Customer Selected﹢ Google Resources Microsoft Corporation Cloud Service Provider United States Customer Selected﹢ Microsoft resources Oracle Corporation Cloud Service Provider United States Customer Selected﹢ Oracle resources”
“At least thirty (30) calendar days prior to the date on which any new Subprocessor shall commence processing Customer Personal Data, Databricks shall update the Subprocessor List and provide Customer with notice of that update.”
“Twilio Inc. Provide customer communications, including in-product messaging and email. United States See Subprocessor Resources Twilio Resources Atlassian Pty Ltd. Customer support and ticket handling. Australia See Subprocessor Resources Atlassian Subprocessor link Microsoft Corporation Customer support (in Microsoft Teams). United States See Subprocessor Resources Microsoft resources salesforce.com, inc. Customer support ticketing. United States See Subprocessor Resources Salesforce Resources Slack Technologies, Inc. Customer support. United States See Subprocessor Resources Salesforce Resources SupportLogic, Inc. Monitor quality of service in responding to support tickets.”
Security foundation15% of the score82
Vulnerability & incident handling
PartialHow security problems are found, reported and handled: disclosure channels, bug bounty, incident response.
Assessed against ISO 27001 · NIST AI RMF
Evidence: Vulnerability & incident handling
“In the event of a Security Breach, Databricks will (a) notify Customer in writing without undue delay and in no event later than seventy-two (72) hours after becoming aware of the Security Breach; and (b) promptly take reasonable steps to contain, investigate, and mitigate any adverse effects resulting from the Security Breach.”
“Contact: [email protected] Encryption: https://www.databricks.com/.well-known/pgp-key.txt Preferred-Languages: en Canonical: https://www.databricks.com/.well-known/security.txt Hiring: https://www.databricks.com/company/careers/open-positions?department=security&location=all Bug Bounty: https://hackerone.com/databricks”
Vendor publishedDatabricks Trust: Ensuring Security, Privacy, & Compliance | Databricks ↗retrieved Oct 20, 2026
“See how we secure the platform through industry-leading practices including penetration testing, vulnerability management and secure software development to protect the Databricks Data + AI Platform.”
Vulnerability & incident handling: the certifications above are independently corroborated, but they cover the management system — these specific disclosures are the vendor's own statements, not yet independently verified.
Independent assurance evidence10% of the score59
Independent assurance
CoveredWhether claimed certifications and attestations are independently corroborated, checked against official registries and issuing bodies. Which certifications, and what each one does and does not establish, is stated per certificate.
Assessed against ISO 17021-1 · ISO 42006 · ISO 27006-1 · ISO 27008
Evidence: Independent assurance
“Such audits are performed (a) at least once annually; (b) according to ISO 27001 standards or such other alternative standards that are substantially equivalent to ISO 27001; and (c) by independent third party security professionals selected by Databricks.”
Vendor publishedDatabricks Trust: Ensuring Security, Privacy, & Compliance | Databricks ↗retrieved Oct 20, 2026
“We have the certifications and attestations to meet the unique compliance needs of highly regulated industries.”
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><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/kaya-ellis-uncharted-software</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/robert-harper-uncharted-software</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/abhishek-mehta-tresata</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/gary-orenstein-memsql</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/holden-karau</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/jeremy-freeman</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/manish-amde</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/databricks-press-office</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/evan-sparks</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/dibyendu-bhattacharya</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/lieven-gesquiere</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/john</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/sachin-chawla</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/luis-quintela</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/girish-kathalagiri</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/paco</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/matt-mackinnon</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/john-kreisa</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/reza-zadeh</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/jeff-feng</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/sean-kandel</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/russell-cardullo</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/eric-carr</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/christopher-burdorf</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/nick-pentreath-graphflow</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/kan-zhang-ibm</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/gavin-targonski-product-management-talend</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/doris-xin</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/andy-huang</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/wei-wu</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/oscar-mendez-ceo-stratio</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/li-pu</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/srisatish-ambati-ceo-0xdata</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/jake-cornelius</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/costin-leau</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/bill-kehoe</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/hari-kodakalla</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/dean-wampler</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/christopher-nguyen</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/michael-hiskey</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/zongheng-yang</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/databricks-training-team</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/sarabjeet-chugh</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/claudiu-barbura</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/tomer-shiran</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/steven-hillion</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/michael-ruggiero</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/blog/author/jai-ranganathan</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/500</loc><changefreq>daily</changefreq><priority>0.7</priority></url><url><loc>https://www.databricks.com/500.html</loc><changefreq>daily</changefreq><priority>0.7</priority></url></urlset>”
Registry verifiedData Privacy Framework (dataprivacyframework.gov) record — EU-U.S. Data Privacy Framework ↗retrieved Oct 21, 2026
Read from the registry record above, cited, not reproduced.
Registry verifiedFedRAMP Marketplace (fedramp.gov) record — FedRAMP Authorization ↗retrieved Oct 21, 2026
Read from the registry record above, cited, not reproduced.
None of the corroborated certifications is AI-specific (ISO/IEC 42001 or AIUC-class) — this assurance is security and data-transfer attestation, not AI-management-system assurance.
Legal & contractual10% of the score60
Legal & contractual transparency
PartialThe contractual backbone a buyer can rely on, terms, DPAs, privacy commitments and regulatory posture.
Assessed against EU AI Act · OAIC APPs
Evidence: Legal & contractual transparency
“Data Processing Addendum Amendment to Data Processing Addendum EU Data Act Addendum Privacy Notice International Data Transfers FAQ Databricks Subprocessors Cookie Notice Applicant Privacy Notice”
“Databricks may update this DPA from time to time, with such updated version posted to http://databricks/dpa or a successor website designated by Databricks; provided, however, that no such update shall materially diminish the privacy or security of Customer Personal Data.”
“reasonable notice of the legal demand to allow Customer to seek a protective order or other appropriate remedy, unless Databricks is legally prohibited from doing so.”
Legal & contractual transparency: vendor-evidenced, not yet independently corroborated.
Not graded: Agent, not applicable to this scan.
What would strengthen assuranceeach figure is from today's score, resolving one changes the others
+3Complete the Customer data treatment disclosureData 52 → 72
+3Complete the Governance & accountability disclosureOrganisation 40 → 60
+3Verify EU-U.S. Data Privacy Framework scope covers this assessmentIndependent Assurance 59 → 81
+2Have Vulnerability & incident handling disclosures independently corroboratedSecurity Foundation 82 → 95
+2Complete the Model provider transparency disclosureModel 40 → 60
Resolving an evidence gap strengthens the dimension it belongs to, and with it the score: 57 → up to 79 with every identified gap resolved.
AI supply chainclick a node to focus it · drag to pan · zoom with the controls
View as list
Databricks, Inc. Contracted Subprocessor Anthropic, PBC
Databricks, Inc. Contracted Subprocessor OpenAI, L.L.C.
Agent Bricks AI Gateway Uses AI Service OpenAI, L.L.C.
Agent Bricks AI Gateway Uses AI Service Anthropic, PBC
Agent Bricks AI Gateway Uses AI Service Meta Llama 3
Databricks, Inc. Uses Infrastructure Amazon Web Services, Inc.
Databricks, Inc. Uses Infrastructure Google LLC
Databricks, Inc. Uses Infrastructure Microsoft Corporation
Databricks, Inc. Uses Infrastructure Oracle Corporation
Databricks, Inc. Contracted Subprocessor Amazon Web Services, Inc.
Databricks, Inc. Contracted Subprocessor Google LLC
Databricks, Inc. Contracted Subprocessor Microsoft Corporation
Databricks, Inc. Contracted Subprocessor Oracle Corporation
Databricks, Inc. Contracted Subprocessor Twilio Inc.
Databricks, Inc. Contracted Subprocessor Atlassian Pty Ltd.
Databricks, Inc. Contracted Subprocessor salesforce.com, inc.
Databricks, Inc. Contracted Subprocessor Slack Technologies, Inc.
Databricks, Inc. Contracted Subprocessor SupportLogic, Inc.
What you inheritTrustyCyber's AI Shared Responsibility Matrix v1.0
This scan names the vendor’s AI supply chain without assessing the responsibility split, that depends on how you consume the product. Under the common managed models, a deployer inherits 16 of the matrix’s 41 responsibilities from providers, each with named evidence owed.
Map your inherited responsibilitiesAssurance evidence: certifications 5, registry checks and verification ladders, click to view
ISO/IEC 27001Claimed, scope unclear
The DPA states annual independent audits are performed 'according to ISO 27001 standards or such other alternative standards that are substantially equivalent'. This is an audit basis referenced contractually, not a visible certificate; issuer, scope and validity are not in the collected documents (the Security Addendum was not collected).
Vendor claimed
Evidence cited
Registry corroborated
Scope verified
Current
Not yet checked against a registry. Treat it as the vendor’s own claim and ask the vendor for the current certificate.
FedRAMP HighClaimed, scope unclear
Evidenced only by a blog URL slug in the vendor's sitemap announcing GA on AWS GovCloud with a FedRAMP High agency ATO. Authorising agency, date and in-scope services are not in the collected documents.
Vendor claimed
Evidence cited
Registry corroborated
Scope verified
Current
Not yet checked against a registry. Treat it as the vendor’s own claim and ask the vendor for the current certificate.
ISO/IEC 42001Not claimed
Not claimed in any public source scanned. This is the AI-management-system certification — in its absence, the vendor’s AI governance rests on its general security and privacy certifications.
EU-U.S. Data Privacy FrameworkClaimed & corroborated
Vendor claimed
Evidence cited
Registry corroborated
Scope verified
Current
Checked against Data Privacy Framework (dataprivacyframework.gov), Oct 21, 2026: Verified on the registry
FedRAMP AuthorizationClaimed & corroborated
Vendor claimed
Evidence cited
Registry corroborated
Scope verified
Current
Checked against FedRAMP Marketplace (fedramp.gov), Oct 21, 2026: Verified on the registry
Sources 14, click to view
Databricks AI: build and deploy AI agent systems
AI Documentation · Vendor · retrieved Oct 20, 2026
Databricks Trust: Ensuring Security, Privacy, & Compliance | Databricks
Trust Or Security Page · Vendor · retrieved Oct 20, 2026
https://www.databricks.com/sites/default/files/legal/dpa-20230721.pdf
DPA · Vendor · retrieved Oct 20, 2026
Databricks Subprocessors | Databricks
Subprocessor List · Vendor · retrieved Oct 20, 2026
Security and Trust Center - Databricks
Privacy Notice · Vendor · retrieved Oct 20, 2026
Databricks Certification | Databricks
Certification Or Compliance Page · Vendor · retrieved Oct 20, 2026
Databricks documentation | Databricks
Product Documentation · Vendor · retrieved Oct 20, 2026
Architecture Center | Databricks
Technical Architecture Documentation · Vendor · retrieved Oct 20, 2026
Databricks Legal | Databricks
Terms · Vendor · retrieved Oct 20, 2026
https://www.databricks.com/en-blog-assets/sitemap/sitemap-0.xml
Technical Article · Vendor · retrieved Oct 20, 2026
Research | Databricks Blog
AI Documentation · Vendor · retrieved Oct 20, 2026
https://www.databricks.com/.well-known/security.txt
Trust Or Security Page · Vendor · retrieved Oct 20, 2026
Data Privacy Framework (dataprivacyframework.gov) record — EU-U.S. Data Privacy Framework
External Registry Or Certification Evidence · Registry · retrieved Oct 21, 2026
FedRAMP Marketplace (fedramp.gov) record — FedRAMP Authorization
External Registry Or Certification Evidence · Registry · retrieved Oct 21, 2026
Appendix: standards landscape 8, click to view
Where each standard behind this assessment stands today, from TrustyCyber’s continuously maintained standards radar.
ISO/IEC 42001:2023Published
AI management system · Anchor for responsible AI governance — internal audit, management review and continual improvement. World's first AI management system standard.
NIST AI RMF 1.0 (AI 100-1)Published (2023; GenAI profile 2024)
AI risk management (+ Generative AI Profile) · Voluntary AI RMF (Govern/Map/Measure/Manage); the US counterpart to ISO/IEC 42001 for AI governance.
ISO/IEC 27001:2022 (+ Amd 1:2024)Published
ISMS requirements · Core assurance anchor. Amendment 1 (2024) adds climate-action considerations to clauses 4.1/4.2; base edition remains 2022.
OAIC Australian Privacy Principles GuidelinesPublished (consolidated 2026)
Interpretation of the 13 APPs · Authoritative APP interpretation under the Privacy Act 1988; watch for privacy-reform updates.
EU AI Act (Reg 2024/1689)In force, phased to 2028 (amended by Reg (EU) 2026/1744)
AI regulation — risk tiers, GPAI, high-risk obligations · Extraterritorial AI law; GPAI obligations and the Code of Practice are live. The Digital Omnibus on AI, Regulation (EU) 2026/1744 (OJ 24 Jul 2026, in force 27 Jul 2026), defers Annex III standalone high-risk obligations to 2 Dec 2027 and Annex I embedded high-risk to 2 Aug 2028; Article 50 transparency duties applied from 2 Aug 2026.
ISO/IEC 27018:2025Published
PII protection in public clouds · 3rd edition (Aug 2025), aligned to 27002:2022 with a new Annex B; useful for SaaS privacy, processor obligations and customer assurance packs.
AIUC-1 — AI Usage ControlsPublished (2026)
130-control AI usage framework · Control-level AI usage framework with mandatory/supplemental classifications and evidence guidance.
ISO/IEC 17021-1:2015Published
Requirements for management-system certification bodies · The base certification-body standard that ISO/IEC 27006-1 and 42006 extend; foundational for audit/cert integrity (also in the reference vault).
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