Governing AI-agent actions via a network intent layer (NILScript) (opens in new tab)

Large language model (LLM) agents are moving from generating text to taking actions on production systems: issuing refunds, updating records, sending messages. Independent enterprise data now identifies the resulting trust gap, not model capability, as the dominant barrier to deployment: Stanford's 2026 AI Index reports security and risk as the top blocker to scaling agentic AI at 62%, a 24-point margin over the next factor, even as organizational AI adoption reaches 88% and actual agent depl...