AEGIS: An Evidence, Quality, and Authority Control Plane for Agentic AI Systems

Agentic AI systems are rapidly moving from text generation to tool use, code execution, business operations, and external-state actions. Traditional controls such as prompt guardrails, egress firewalls, and security scanners address only part of the risk. AEGIS proposes a broader operating discipline: every agentic action must carry authority scope, source-control provenance, quality evidence, drift visibility, rollback readiness, and human approval where consequence demands it. This technical note unifies the AEGIS design evolution from spend governance and hard-gate promotion to fleet-level classification, source-control provenance, and AEGIS-Q quality evidence masks. The document synthesises six design…