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Security and Data

Understand Teammately's security controls, customer-data flows, and the option to evaluate with synthetic Cases without uploading production records.

Security and Data

You can develop and evaluate AI in Teammately without uploading your production Cases, customer conversations, or business records. Use synthetic Cases and fictional supporting materials to exercise the behavior your team needs. Configure the candidate's tools and credentials for a separate test environment.

Teammately also supports workflows using customer-supplied content. The data you enter, connect, generate, execute, and submit determines what each workflow processes.

Decision checkpoint

Your questionReadWhat it explains
Can we keep actual records outside the experiment?Synthetic EvaluationConstructed Cases, test-only environments, and what to inspect
What reaches Teammately and model services?Data Handling and AI ProcessingInputs, outputs, providers, storage, and geographic scope
Who can access our work?Access ControlWorkspace, Project, reviewer, artifact, and credential boundaries
How do we restrict network access?Network Controls and IsolationIP restrictions, private ingestion and inference, and execution boundaries
Which actions can we inspect or export?Audit Logs and ActivityWorkspace events, filtered CSV export, and artifact-specific history
Which security commitments apply?Trust CenterPublished controls, assessment status, providers, and agreement requirements
What should procurement review?Security Review and AssuranceIndependent assessment status and workflow-specific requirements
How can we explain a result later?ReproducibilityThe Cases, criteria, and candidate versions used for assessment

Security controls and commitments

ProtectionHow it worksScope
Customer files and backupsAzure Blob Storage encryption at rest with Microsoft-managed keys; public Blob access disabledCustomer and PostgreSQL backup storage accounts
Database storagePlatform-managed encryption for database-cluster disksDatabase-cluster storage
Workspace and Project accessServer-side permissions, including direct user and workspace-group Project grantsThe selected workspace, Project, and action
Protected files and previewsAuthenticated workspace, Project access, and deletion checksAccess requires an authenticated, authorized request
Network accessWorkspace IP restrictions and deployment-specific private connectivityInbound app access, ingestion, and model inference have distinct controls
Runtime credentialsSeparate workspace secrets and explicit Harness grantsThe selected Harness and its authorized execution context
Reviewable activityWorkspace Audit Log, artifact history, and recorded execution activityEach surface records its own event types and scope
RecoveryBackup procedures, storage versioning, and soft deletionRecovery protection and permanent erasure have different lifecycles

The Trust Center gives the individual control descriptions, assessment methods, and dates. Core hosting location, model-processing geography, and traffic delivery are separate considerations.

Teammately does not use customer workspace data to train shared generative models without express written agreement. Providing a requested AI service can still involve processing and retaining content. Review the selected workflow and provider terms separately.

Compliance and procurement

Use the Trust Center for Teammately's assessment and audit status, and the applicable agreement for contractual commitments. Each assessment identifies the organization and services it covers. Review the controls and agreement that apply to your intended workflows.

Teammately's security program follows the SOC 2 Security criteria, with controls assessed internally. An independent SOC 2 Type II audit is in progress. Security Review and Assurance explains how to review the assessment status and the scope of your intended workflows.

HIPAA-compliant deployments require a signed Business Associate Agreement and deployment approval before protected health information is submitted. The approved services, workflows, integrations, and data categories define that scope.

Retention, deletion, recovery, and processing requirements should cover the intended workflow, including model-service records, logs, files, and backups. A recovery window is separate from a permanent-erasure timeline.

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