Introduction
Understanding organizationsUnderstanding componentsManage organizationsManage componentsManage component Jira integrations
Set up your first organizationUnderstanding users and teamsUnderstanding role-based access controlManage usersManage teamsConfigure role-based access controlRBAC permissions reference
Understanding authentication in CloudBees UnifySet up multifactor authenticationConfigure SAML single sign-onConfigure OIDC authenticationConfigure network security policiesNetwork security reference
Understanding platform configurationUnderstanding environmentsManage properties and secretsManage environmentsTrack environment inventoryConfigure containersSet up preconfigured actionsConfigure notifications
Accessibility policy referenceShared responsibility model referenceSubscription and services agreementSupport policiesSupported browsers and external tools
Introduction
Understanding feature managementUnderstanding Configuration as CodeGet started with feature managementCreate and manage feature flagsConfigure feature flag targetingOrganize feature flagsImplement feature flag governanceConfiguration as Code reference
Understanding flag impressions and activity statusUnderstanding flag healthUnderstanding code referencesReview and clean up feature flagsSet up code references
Understanding Jira integration for feature flagsSet up the Jira integrationLink Jira tickets to feature flags
Understanding multiple SDK keysBuild your first mobile app with feature flagsBuild your first feature-flagged web applicationBuild your first feature-flagged backend serviceInstall client-side SDKsInstall server-side SDKsConfigure multiple SDK keysMobile SDK referenceWeb SDK referenceBackend SDK referenceClient SDK referenceFlag implementation reference
Introduction
Understanding CI workflowsCreate a build workflowCreate and manage workflowsCreate reusable workflowsTest and validate containers in workflowsCheck out source codeTrigger workflows remotelyWorkflow syntax referenceJobs syntax referenceSteps syntax referenceServices syntax reference
Monitor workflow runsView test results in runsView evidence in runsView deployments in runsManage workflow artifactsPublish test resultsPublish evidence itemsGenerate a software bill of materialsManage ServiceNow change requests
Configure workflow credentialsConfigure AWS credentialsConfigure container registry credentialsConfigure Git credentialsIntegrate external secret providers
Understanding GitHub Actions integrationSet up GitHub Actions integrationDisplay GitHub Actions workflows and runsRegister GHA build artifactsPublish GHA deployed artifactsPublish GHA test resultsPublish GHA evidence itemsTrigger CloudBees workflows from GitHub ActionsScan with GitHub Actions
Understanding CloudBees CI and Jenkins® integrationConnect CI and Jenkins controllersMonitor CI and Jenkins buildsRegister CI build artifactsRegister CI deployed artifactsPublish CI test resultsConfigure CI security scanningCI and Jenkins integration reference
Build and publish container imagesUnderstanding external CI/CD integrationsRun external CI/CD jobsExternal CI/CD action reference
Introduction
Understanding release orchestrationManage applicationsCreate deployer workflowsCreate staged workflowsCreate and manage releasesOrchestrate multi-workflow releasesRelease management reference
Understanding artifact managementRegister and track artifactsStore and retrieve artifactsPromote artifactsGenerate a software bill of materialsArtifact management reference
Deploy with HelmDeploy to KubernetesContainer deployment reference
Deploy to AWSAWS deployment reference
Deploy with enterprise platformsExecute remote deployment commandsEnterprise deployment reference
Verify deployments with New RelicDeployment verification reference

Understanding AI Assistant privacy

2 minute read

The AI Assistant is designed with privacy and security as core principles. It only accesses your current page context, your messages, and your conversation history within the current session. It does not access other pages, previous sessions, or sensitive data.

How your data is processed

When you interact with the AI Assistant, your message and current page context are sent securely to CloudBees servers. The AI model processes your request and generates a response, which is displayed in the chat panel. Session data is temporary and not available in future sessions. All communication uses encrypted connections (TLS/HTTPS), and AI models are provided by the same infrastructure provider that hosts CloudBees Unify.

You control your exposure: open the AI Assistant only when you need it, and close it or refresh the page to end your session. Consider what information you are sharing before sending a message. Providing feedback is optional.

Privacy commitments

CloudBees uses conversation data to provide and improve the AI Assistant.

Not used for shared model training

Customer data is not used to train foundation models shared across customers.

Anonymized aggregation

Any aggregated data used for analytics is anonymized and non-identifiable.

Regulatory compliance

The AI Assistant complies with GDPR, CCPA, and CloudBees' SOC 2 certification.

Secure infrastructure

AI models are provided by the same infrastructure provider that hosts CloudBees Unify.

For complete legal terms governing AI features and data handling, refer to:

For privacy questions, data access requests, or security concerns, contact CloudBees Support or your CloudBees account team.

How the AI Assistant works
Get started with the AI Assistant