Policy Guardrails

Definition

Policy Guardrails is deterministic and model-assisted controls that constrain what AI systems may say, decide, or execute. In defense applications, it turns ROE, classification, safety, and legal constraints into enforceable runtime checks. The hard part is overblocking, underblocking, and conflicts between soft model policy and hard system policy, especially when systems are deployed across contested links, coalition boundaries, and mixed human-machine teams. KhanBMS treats it as the boundary between helpful autonomy and unauthorized action, tying the concept back to modular command, edge execution, and auditable authority.

Reference attributes

Layer

AI control layer

Operational value

Turns ROE, classification, safety, and legal constraints into enforceable runtime checks

Primary risk

Overblocking, underblocking, and conflicts between soft model policy and hard system policy

KhanBMS role

The boundary between helpful autonomy and unauthorized action

Related terms

• Rules of Engagement (ROE)
  Directives that define the circumstances under which force may be used.
• Human-on-the-Loop
  Supervisory control pattern where the human can intervene but does not act on every step.
• Prompt Injection Defense
  Controls that prevent untrusted text or content from overriding a model agent’s system instructions or tools.
• Responsible AI for Defense (RAI)
  Governance practices that align military AI with lawful, ethical, reliable, and accountable use.