Data security
Workspace-scoped access, role-aware operations, and evidence-linked outputs.
Security Overview
Security & Compliance Overview
A lightweight overview of how LaneFrame approaches data security, privacy, approvals, traceability, and AI output risk. It is not a certification claim.
Privacy posture
Privacy-aware data practices for GDPR / CCPA review without unsupported blanket compliance claims.
AI output risk controls
Bounded Staff roles, source context, reviewable artifacts, and approval gates.
Trace & Evidence
Recorded execution context supports review without re-running actions.
Subprocessors
Public subprocessor commitments should be published only when legally approved.
Incident contact
Security and legal notices should use the contact path described in the Terms.
Real product interface
Security review should inspect actual evidence surfaces.
Test workspace · identifiers redacted · product capability evidence, not a customer result or ROI claim.
Captured product screenshotTrace & Evidence
Request-to-result flow
A captured product evidence flow showing how a request becomes a reviewable operating output.
- Claim supported
- Request, result, evidence, and review context are rendered by real product components.
- Does not prove
- Customer deployment success or live connector state.
- Source
- test-workspace · Fixture/test labels; no customer identifiers
- Provenance
- Captured product route recorded
Not a certification