Capture Notes

RAILS proposes an integrity and clearing layer for agentic commerce, centered on obligation objects, evidence envelopes, verification meshes, and clearing decisions.

AI security relevance:

• Addresses agent accountability when agents negotiate, purchase, deploy code, or move funds.
• Useful for studying verification requirements before financially material autonomous actions.
• Connects AI agent security with settlement, provenance, liability, and evidence quality.

Suggested ingest focus:

• Evidence for "authorization is not enough; delegated agent actions need clearing/evidence semantics".
• Compare with existing agent identity and zero-trust topics.