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Fieldnote AI

Fieldnote AI / Security

01Security

Control the knowledge flow.

Review access, workspace isolation, retention choices, audit history, and human approval boundaries.

Security experience inside Fieldnote AI
Evidence currentOwner namedReview required

02Proposed control model

Controls that fit the risk.

Review the control framework and confirm implementation requirements before connecting a production workspace.

01

Identity & roles

Define who can connect, run, review, approve, and distribute.

02

Workspace isolation

Separate sources, workflow rules, outputs, and review history by workspace.

03

Encryption & transport

Design data movement around protected transport and encrypted storage.

04

Retention choices

Set lifecycle choices around source sensitivity and operating need.

05

Audit history

Preserve workflow changes, reviewer actions, and distribution decisions.

06

Human approval gates

Keep material outputs paused until a responsible person decides.

06Human-governed automation

Move faster with control.

Give each output an owner, exception path, and approval gate.

A controlled evidence archive representing human-governed AI operations
Governance signalReviewer required2 claims ready · 1 escalated
01

Evidence stays inspectable

The original record, passage, and support stay close to the output.

02

Automation has an owner

Every workflow names the person responsible for quality and exceptions.

03

Human approval is deliberate

Generation does not become distribution until the right person approves it.

04

Limits remain visible

Conflicts, gaps, assumptions, and model boundaries remain explicit.

Review proposed controls
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