Audit what actually happens at runtime.

RuntimeAudit is an exceptionally direct infrastructure name. It describes the layer that records and verifies what executed, what permissions were used, which policies fired, what data was accessed, what actions occurred, and what the final outcome was. That positioning is becoming particularly important as autonomous AI systems move into production.

RuntimeAudit.com is especially timely because AI security is shifting from simply reviewing models and infrastructure to proving what autonomous systems actually did in production. Current platforms are already positioning runtime audit around immutable action trails, policy decisions, tool interactions, and regulator-ready evidence. :contentReference[oaicite:0]{index=0}