The human decision is the asset
A high-consequence workflow may include automation, scripts, service accounts, AI recommendations, policy engines, and APIs. The dangerous gap is the handoff between automated context and human authorization.
SignalFang is designed to preserve that handoff as a verifiable record.
What a receipt can preserve
A human authorization receipt can include who approved the action, the action category, the source system, what request was being approved, the context visible at approval time, and the timestamp.
Who
The human or operator reference associated with the decision.
What
The action, request hash, target reference, or decision state.
When
Timestamp and sequence information for later reconstruction.
Context
Relevant metadata such as confidence, reason code, environment state, or degraded mode.
Why “human-in-the-loop” needs proof
Saying a human was in the loop is not the same as proving it later. SignalFang makes the human approval moment explicit, structured, and verifiable.
Payload-safe by design
Human authorization can be proven without storing the underlying sensitive payload. The receipt can reference hashes, identifiers, and metadata while leaving the protected object in the original system.
Quick answers
Why not just use MFA?
MFA proves an authentication event. SignalFang focuses on the authorization decision around a specific action and its context.
Can a machine action still be part of the flow?
Yes. SignalFang can record human approval around automated or AI-assisted workflows.
Does the user have to see the full payload?
That depends on the workflow. SignalFang is designed to record decision evidence without requiring SignalFang to store the protected payload itself.
Need proof around a workflow?
SignalFang is exploring pilot workflows where signed decision receipts, payload-safe evidence, and local verification matter.