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Workspace insights helps workspace owners and admins govern and prioritize project review across a growing workspace. It combines security findings, sensitive data findings (PII), ownership, lifecycle, cost, publish status, and activity signals so you can quickly find projects that may need security, privacy, or ownership attention. Use it to answer governance questions such as: which projects are published to the internet, which contain personal data, which have open security findings, which are abandoned, which have no owners, and which consume the most credits. Workspace insights complements the other Security center tabs. Code analysis, Supply chain security, and Secrets overview focus on specific security areas, while Workspace insights adds portfolio and governance context across every project.
  • Available on: Enterprise plans
  • Access: Workspace admins and owners
  • Location: Settings → Security & compliance → Security center → Workspace insights
Viewing Workspace insights, exporting data, and running PII or security scans from Workspace insights do not consume credits.

What you can do

  • See a workspace-wide summary of total projects, externally published projects, and projects with high review priority.
  • Jump to key risk themes with quick filters for projects with PII, abandoned projects, security scan findings, and projects with no owner.
  • Search every project by project name, owner, or description.
  • Filter the project table by review priority, publishing status, and finding type.
  • Sort projects by review priority, activity, credits, scan status, and other table columns.
  • Show or hide columns to tailor the table to your workflow.
  • Expand any project row to review the findings and signals that explain why the project is flagged.
  • Click a project name to open the full project details page with description, Lovable Cloud setup, connectors, website details, PII status, activity metrics, and open findings.
  • Run a fresh PII scan or security scan on a project.
  • Export the table to a CSV file for audits, reporting, or leadership reviews.

How Workspace insights works

Workspace insights combines scan results and workspace signals, then turns them into review priority for each project.

Where findings and signals come from

Workspace insights brings together scan results and workspace signals to help you prioritize project review across the workspace. It uses:
  • Security findings from Lovable’s Basic scan, Deep scan, and related Security center surfaces.
  • Sensitive data findings from Sensitive data scanning, such as unresolved personally identifiable information (PII) in project data.
  • Project and workspace signals such as publish status, ownership, activity, credits, collaborators, connectors, secrets, and Lovable Cloud usage.
These inputs contribute to each project’s review priority, shown as High, Medium, Low, or Not scanned. Review priority helps the projects that need the most attention rise to the top.
SourceWhat it contributes
Sensitive data scanningFinds personally identifiable information (PII) in supported project data, including chat messages, file uploads, chat history, Lovable Cloud database data, and Lovable Cloud storage.
Basic scanRuns fast configuration and dependency checks, including row-level security (RLS) policy linting, database schema review, and dependency audit.
Deep scanRuns a more thorough agentic code review that includes Basic scan checks and adds access control review, backend endpoint protection, code-level vulnerability detection, and project-specific issues.
Optional security connectorsAdd coverage from connected tools, such as Wiz or Aikido, when configured for the workspace.
Workspace and project metadataAdds project state and usage signals, such as publish status, ownership, activity, credits, collaborators, connectors, secrets, and Lovable Cloud configuration.
Each finding links to the relevant project view for review and action.

Review priority

Review priority indicates how urgently a project may need attention. It appears as High, Medium, Low, or Not scanned. Workspace insights assigns review priority based on the active findings and signals on a project. Signals that increase review priority include public exposure, open security findings, unresolved personal data findings, abandoned published projects, and projects with no active owner. Signals such as connectors, secrets, external collaborators, shared access, and edge functions can also contribute because they may require periodic review. A project with no scan data shows as Not scanned.

Findings and signals

The findings and signals below contribute to review priority. Projects with stronger or overlapping findings and signals are more likely to appear with higher review priority.
FindingWhat it means
Public app with security errorsThe project is publicly exposed and has error-level security findings.
Public apps with PII and security findingsThe project is published, contains personal data, and has warning-level or error-level security findings.
Security findingsThe project has open security findings.
Public apps with PIIThe project is published and contains personal data.
Abandoned published projectsThe project is published and has no recent activity.
Orphaned projectsThe project owner is no longer an active workspace member.
Open PII findingsThe project has unresolved personal data findings.
SecretsThe project has secrets configured. Review whether they are still needed and correctly scoped.
ConnectorsThe project has external service connectors attached. Review how the app uses connected data.
External collaboratorsThe project has collaborators outside the workspace.
Shared projectsThe project is shared with additional users.
Edge functionsThe project has deployed edge functions. Run regular scans to keep backend code safe.
When a more specific finding applies, less specific overlapping findings can be hidden to avoid double-counting. For example, if Public apps with PII and security findings applies, Workspace insights suppresses overlapping PII-only findings for that project.

Dashboard overview

Workspace insights is organized from summary to detail: workspace-level metrics, quick filters, the project table, expanded findings rows, and per-project detail views.

Summary cards

The summary cards show the overall state of the workspace.
CardWhat it shows
Total projectsTotal number of projects in the workspace
Externally publishedProjects published to the public internet
High review priorityProjects with signals that need urgent review

Quick filters

The Quick filters row lets you jump directly to a filtered project table.
Quick filterWhat it shows
Projects with PIIProjects with open personal data findings
AbandonedProjects with no recent activity in the last 60 days. Includes edits, messages, sessions, and function calls. The abandoned-project threshold defaults to 60 days and can be configured per workspace to 30, 60, 120, or 180 days.
Security scan findingsProjects with open security findings
No ownerProjects whose owner is no longer an active workspace member, so the projects need a new accountable owner

Project table

Every project in the workspace appears in a searchable, filterable, and sortable table. By default, each row shows the following columns:
  • Project name
  • Review priority
  • Publish status
  • Owner
  • Last security scan
  • Last edit
  • Credits (all-time credits consumed by the project)

Columns

Use the column menu to show or hide columns. Project name and Review priority are always visible. Additional columns include:
  • Project ID and Created
  • Edits (7d) and Visitors (7d), each with a tooltip showing when the activity data was last updated
  • Findings, Security findings, Security errors, Security warnings, and Security info
  • Vulnerability findings, Critical vulnerabilities, High vulnerabilities, Medium vulnerabilities, Low vulnerabilities, and Total vulnerabilities
  • PII findings
  • Auth providers
  • No owner, Abandoned, and External access
  • Connectors, Lovable Cloud, and Edge functions
  • Secret names and Secret integrations
Column preferences are stored in your browser for the current workspace. They do not sync across browsers or devices. Use the Search projects… field to search by project name, owner, or description.

Filters

The table can be filtered by review priority, publishing status, and findings.
FilterOptions
Review priorityHigh, Medium, Low
Publishing statusExternally published, Internally published, Not published
FindingsSecurity findings, Open PII findings, Project secrets, Connectors, External collaborators, Shared projects, Edge functions, Abandoned, No owner
You can combine filters. For example, selecting High review priority and Externally published shows only externally published projects with high review priority.

Sorting

Click a column header to sort by that column. Sort labels vary by column type:
  • Name columns use A-Z and Z-A.
  • Date columns use Oldest first and Newest first.
  • Review priority uses Highest first.
  • Count columns use Fewest first and Most first.

Expanded findings row

Expand a project row to see the findings and signals that explain why the project is flagged. Click View on a finding to open the relevant project view for investigation and action. You can also click Run PII scan or Run security scan from the expanded row.

Project details

Click the project name to open the full project details page. The project details page gives broader context about the project, including:
  • Project description
  • Lovable Cloud details, when the project uses Lovable Cloud, including Status, Edge functions, Auth providers, Tables, Storage buckets, and Last synced.
  • Connectors used by the project, such as Slack, Stripe, or Google Calendar, with links to connector settings.
  • Website details, including Status, published URL, Project ID, Handles PII, Secrets, Edge functions, and Collaborators.
  • Activity metrics, including Edits - 7d and either App visitors - 7d for published projects or Collaborators.
  • Security findings and PII findings, including open findings and links to the relevant project view for more detail.
You can also start a new security scan or PII scan from the project details page.

Export to CSV

Use the export control in the Security center header to export the project table to CSV. You can choose:
Export optionWhat it includes
Export visible columnsOnly the columns currently shown in the table
Export all columnsEvery available column
Both options respect the current search query and filters. They export all matching rows, not just the current page. Exported files use a name like workspace_insights_2026-06-23_15-30.csv. Exports are capped at 100,000 rows. If the matching results exceed the cap, Lovable shows an Export truncated message and the file contains the rows included within the export limit. Narrow your filters to export the remaining projects.

Important notes

  • Workspace insights reflects the latest workspace data Lovable has processed. Some values can lag behind recent changes.
  • Review priority updates asynchronously after scans, connector changes, ownership changes, and other relevant project changes.
  • Activity data, such as edits and visitors, can lag by up to 24 hours.
  • The project detail view and some table columns show when the underlying data was last updated.
  • Workspace insights helps identify projects that need attention, but changes still happen in the project itself.