Researchers have developed a system called Aegis to govern the actions of agentic AI systems. These systems can request tool actions that modify files or launch jobs, and the safety problem shifts from text generation to operational side effects. Aegis treats model outputs as action proposals and mediates them through a trusted decision layer before execution. The system evaluates proposals against active policy state, resolves provenance server-side, fails closed under uncertainty, and routes selected cases through a quorum-based non-unilateral authorization path. --- Why it matters: This matters to engineers because it addresses the problem of agentic AI systems causing harm through operational side effects, rather than just text generation. Aegis provides a framework for runtime governance that can be applied to various domains. Source: https://arxiv.org/abs/2608.16891