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Security
Controls for AI teammates that touch real work.
OneFoundry is designed for connected, consequential work. Security starts with scoped connectors, approval gates, auditable receipts, and clear data controls.
Work you can inspect
Visible queue
Waiting on approval
Active automation
Next run Thu 9:00
Proactive monitor
Checked 18 minutes ago
Dashboard preview
Needs review
Controls
Security is part of the work loop.
The platform keeps actions reviewable and permissions explicit so AI teammates remain governable.
01
Credential references
Connectors are designed around secret references and scoped account access, not raw secrets scattered across workspace records.
02
Approval policy
Sensitive actions can be paused for human review with the reason, risk, and requested action visible before execution.
03
Audit events
Tool calls, approvals, generated artifacts, and teammate activity can create evidence records for later review.
04
Workspace controls
Teams can manage members, billing, connectors, and access boundaries from the workspace administration surface.
05
Data handling
The product is built around export, deletion, retention, and customer trust review as production launch requirements.
06
Transport security
Production deployment is expected to use modern TLS, managed infrastructure, secret stores, and monitored services.
Compliance language stays evidence-backed.
Public claims should be limited to what current reports, certificates, contracts, and counsel-approved language support. The marketing site intentionally describes readiness and controls without over-claiming certification status.