Secure by design
Choose where your data lives, enforce SSO and role-based access, control publishing with approvals, and keep your code and prompts out of model training.
Enterprise security controls
Access and control
Lovable integrates with SAML and OIDC providers including Okta, Azure AD, and Google. SCIM supports automated provisioning and deprovisioning. Permissions are role-based and enforced server-side across viewing, editing, approving, and publishing.
Guardrails for building & publishing
Editing, approval, and publishing are separate permissions. Public access is controlled by role and environment settings, so teams can move quickly without risking accidental exposure.
Secrets are handled securely
Secrets are encrypted at rest and access-controlled by role. They are not exposed in plaintext in logs or interfaces. Access is limited to authorized environments and actions.
Data residency
Lovable Cloud supports regional data hosting in the EU, US, and Australia. Customer data remains in the region you select and does not move across regions by default. We're transparent about our infrastructure and subprocessors, so you always know where your data lives and how it's handled.
Your data is not used to train models
We do not use customer prompts, code, or workspace data to train Lovable models. When we work with AI providers, contractual agreements restrict training and retention of customer data. Your work stays your work.
Isolation by design
Each workspace and project is logically separated. Customer data is not accessible across accounts. Environment boundaries are explicitly defined and evaluated before changes are published, ensuring separation between development and production.
Continuous monitoring & abuse detection
Lovable continuously monitors platform activity for misuse, anomalous behavior, and compromise. Automated systems enforce rate limits and detect abuse across users and workspaces, with high-risk activity reviewed by our trust and safety team.
Automatic security scanning
Generated code, dependencies, and configurations are automatically scanned for vulnerabilities and unsafe settings. Findings are categorized by severity and surfaced before deployment. Independent security testing and periodic assessments strengthen our controls over time.
Protected infrastructure
Lovable Cloud is protected by web application firewall (WAF) controls, network isolation, encrypted data storage, and adaptive rate limiting at the IP, user, and workspace level.
Compliant and certified
Frequently asked questions
Customer data is hosted in Lovable Cloud in supported regions including the EU, US, and Australia. Data residency is region-specific and does not move across regions by default.
No. Customer prompts, code, and workspace data are not used to train Lovable models. Where third-party AI providers are used, contractual agreements restrict training and retention of customer data.
Lovable is a multi-tenant platform with logical isolation between workspaces and projects. Customer data is not accessible across accounts. Isolation controls are enforced at both the application and infrastructure layers.
Lovable works with a limited set of infrastructure and AI subprocessors. All subprocessors are covered under contractual data protection agreements. A current list of subprocessors is available upon request.
No. Lovable does not clone customer Git repositories, access application code inside your environments, or require internal CI/CD access. Your source code, repositories, and production infrastructure remain inside your organization's existing security perimeter. Lovable does not deploy agents inside customer production environments or introduce inbound network connections.
No. Lovable does not require direct access to customer CI/CD pipelines or production infrastructure. It does not deploy agents inside production environments or introduce inbound network connections. All integrations operate within defined permission boundaries.
Publishing permissions are enforced server-side and cannot be bypassed via client-side requests. Editing, approval, and publishing are separate role-based permissions. Production publishing can require explicit approval, and all publishing events are logged with user attribution.
Lovable integrates with SAML and OIDC identity providers and supports SCIM for automated provisioning and deprovisioning. Access is role-based, with permissions explicitly defined for viewing, editing, approving, and publishing. All authorization checks are evaluated server-side at request time.
Yes. Lovable supports least-privilege access through role-based permissions and integration with enterprise identity providers. Organizations can define granular roles for editing, approving, and publishing, ensuring users receive only the access required for their responsibilities. Access policies align with organizational identity and workspace configuration settings.
Secrets are encrypted at rest and scoped to specific environments. Access to secrets is role-controlled and auditable. Secrets can be rotated or revoked without requiring full system redeployment. Integrations execute within predefined permission boundaries to reduce unintended credential exposure.
Yes. Lovable automatically scans generated code, dependency trees, and database configurations for known vulnerabilities and unsafe configurations. Findings are categorized by severity and surfaced before deployment at the workspace level. Security scanning is part of the default development workflow.
Lovable supports SOC 2 and GDPR requirements and provides security documentation and data protection agreements for enterprise review.
