Security Overview

Governed controls without unsupported compliance claims.

LaneFrame describes the controls it can support: approvals, RBAC, workspace isolation, evidence, Trace & Evidence, and stop controls. Formal certifications or legal commitments are not claimed unless verified.

Control

RBAC and workspace-scoped roles

Control

Human approval gates for high-risk actions

Control

Audit evidence connected to outputs

Control

Trace & Evidence for review

Control

Stop controls and Staff boundaries

Control

Privacy-aware data handling practices

Approval gate walkthrough

Sensitive AI work becomes a review packet, not a blind action.

The control model is visible: proposed action, risk, evidence, human decision, and read-only Trace & Evidence.

1ProposalRecovery AI Staff prepares a batch and explains why it needs review.
2RiskExternal-send risk and approval owner are visible before action.
3EvidenceLead count, source context, and generated draft stay attached.
4DecisionHuman owner approves or rejects without losing the audit trail.
5Trace & EvidenceTrace views are read-only review evidence; they do not run the action again.
Human review

Approval control room

Approval required

Recovery batch send

External message delivery is blocked until the human owner decides.

Risk: external send
Owner: RevOps lead
Evidence: 12 stale leads
Policy: approval gate

Evidence packet

Generated draft: 3 recovery variants
Queue source: stale no-reply leads
Trace ref: REC-2049

Trace rule

Trace & Evidence explains the recorded decision path. It does not execute the send again.

Recorded timeline

  1. 01 Proposed by Recovery AI Staff
  2. 02 Evidence packet attached
  3. 03 Human decision recorded
  4. 04 Trace available for review

Privacy posture

Privacy-aware data practices for GDPR / CCPA review.

Customer data should stay workspace-scoped, minimized to approved use, and reviewable through evidence records. Public pages do not claim full GDPR, CCPA, HIPAA, SOC 2, or ISO compliance certification.

Bounded roles

Staff roles have explicit responsibilities, requirements, approval-required actions, and boundaries.

Evidence-linked output

Outputs should reference source context, artifacts, or traceable operating evidence.

Human review

Consequential actions require human approval instead of relying on unreviewed autonomous execution.

Trust artifact proof

Trust pages should inspect evidence, not sales workbench screens.

The trust panel focuses on trace, evidence, and artifact boundaries for procurement-style review.

Captured screenshotDashboard

Lead Management dashboard

A captured product dashboard surface showing operating status, Staff work, approvals, and evidence activity.

Claim supported
Dashboard-level operating evidence is visible in an actual webservice-rendered product surface.
Does not prove
Production customer activity, customer ROI, or uptime claims.
Source
test-workspace · Fixture/test labels; no customer identifiers
Captured 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
ScreenshotTrace and evidence

Execution evidence

A trace view connecting the request, Staff identity, intent, outcome, and recorded evidence.

Claim supported
Outputs stay connected to traceable execution evidence.
Does not prove
A third-party certification, customer audit, or final legal evidence package.
Source
test-workspace · Identifiers redacted

Evaluation notes

Use public controls for evaluation and contracts for formal commitments.

Public pages describe the controls visible in the product and supporting evaluation materials. Availability terms, legal commitments, identity requirements, and security questionnaires should be reviewed in the applicable agreement or procurement packet.