ExecutionProof Puts External Control Before AI Action

ExecutionProof identifies the missing infrastructure layer in agentic AI: independent control at the execution boundary, not retrospective logging after damage occurs.

• –Separates action generation from authorization, reducing self-approval and privilege-escalation risks
• –Applies particularly well to payments, infrastructure changes, data mutations, and other high-impact tool calls
• –HOLD creates a practical middle state for human review instead of forcing unsafe allow-or-deny decisions
• –Signed ProofRecords make decisions auditable and reconstructable after execution
• –The concept is compelling, but production value will depend on non-bypassable integrations, low latency, and independently validated policy enforcement