Zero-Trust Verification (ZTV) Layer

Description

All automation proofs whether digital computations or robotic actions are verified by independent validator nodes before any reward is released. This ensures absolute trustlessness and eliminates false reporting.

Mechanism

• Hash validation

• Timestamp + GPS cross-verification

• Data integrity checks

• AI inference verification

• Re-simulation of module outputs

Benefits

• Guarantees truthful automation.

• Prevents manipulation or fraud in results.

• Enables auditability for enterprise and industrial use.

Example: A robot logs a motion task and submits telemetry data. Validators verify the GPS path, motion sensors, and timestamp before reward distribution.