ACTOR TRUST RECEIPT
Illustrative- Actor
- Human
- Personhood
- Verified
- Identity
- Verified privately
- Presence
- Continuous
- Human control
- High confidence
- AI involvement
- Low
- Session continuity
- High confidence
In short
For video calls, Proof of Actor is designed to establish that the participant is the expected person, present and in control throughout the call, independent of whether the media stream could be synthetic, so remote meetings, interviews and approvals rest on evidence rather than appearance.
The question
Is the person on this call the expected participant, and are they present and in control right now?
Context
From detecting fakes to establishing actors
Deepfake detection tools judge whether audio or video appears manipulated. That is an arms race measured in model releases, and a clean result still does not tell you who is on the call.
Impersonation on video calls is used for payment fraud, fraudulent hiring and social engineering against help desks. The decision being made in each case, approving a payment, hiring a person, resetting credentials, depends on the participant's identity, presence and authority, not on pixels.
Proof of Actor is designed to attach actor evidence to the participant rather than the media: who they are, privately verified, whether they are present and continuous, and whether they are authorised for what is being asked.
Where video impersonation causes harm
- Executive impersonation to authorise payments
- Fraudulent candidates in remote interviews
- Help-desk social engineering for credential resets
- Remote identity checks and onboarding
What Proof of Actor is designed to establish
Trust layers this context needs
Each context asks for a different slice of the trust stack. These are the layers that matter here.
Identity
The participant is the expected person.
Presence
They are present on this call, now.
Actor continuity
The same person remains throughout.
Intent
Consequential requests are explicitly approved by them.
Policy
Typical policy for a payment approval call
Proof of Actor supplies the evidence. Your organisation sets and discloses the policy.
// Proposed API - illustrative only
policy.require({
actor: "human",
identity: "verified_private",
presence: "continuous",
intent: "explicit_for_payment_requests"
});FAQ
Frequently asked questions
How do you verify a person on a video call?
By establishing evidence about the participant rather than judging the video alone: that they are the expected person, verified privately, present and continuous during the call, and explicitly approving any consequential request.
Is Proof of Actor a deepfake detection tool?
No. Deepfake detection may become one signal among many. Proof of Actor asks a different question: regardless of how the media was produced, who is actually responsible for this interaction?
Can this prevent deepfake meeting fraud?
No system should promise prevention. Proof of Actor is designed to require evidence of identity, presence and intent before consequential decisions made on calls, which removes the reliance on appearance that such fraud exploits.
More use cases
Other contexts
Hiring
Know whether the candidate actually completed the assessment.
Financial services
Require verified human control or explicit intent before consequential transactions.
Agentic commerce
Verify who stands behind an AI agent and whether a purchase is inside its mandate.
Marketplaces
Distinguish genuine users, AI-assisted users and autonomous agents.
What interaction do you struggle to trust?
Design partners help define the evidence that would change their decisions. Tell us about yours.