AI agents urgently need a reliable underlying infrastructure

As autonomous AI agents move towards open networks and act on behalf of humans, the current lack of credible and legally binding transfer protocols leads to interoperability challenges due to infrastructure deficits. There are three major problems in AI agent interaction: context distortion and intention bias, absence of authorization boundaries and traceability gaps, and accountability vacuums during execution failures. Traditional network security models cannot handle the dynamic discovery and decision-making characteristics of AI agents, and internet fragmentation may lead to digital feudalism. Solutions need to return to a neutral infrastructure layer, using forward-looking identity architectures to anchor agent identity credentials in the Domain Name System (DNS) and encrypted proofs to create “digital passports,” and establishing standardized, auditable machine-to-machine (M2M) transfer protocols to eliminate natural language ambiguity and build public trust.