Guardrails, Policies, and Runtime Controls for AI Apps
Guardrails Must Run Outside the Prompt
Prompt instructions are useful, but production guardrails should also exist in deterministic application logic. Runtime controls protect the system when the model misunderstands, overreaches, or receives hostile input.
Control Layers
- Input filtering for sensitive data, policy violations, or unsupported requests.
- Output validation for format, schema, citations, claims, and allowed actions.
- Tool restrictions based on user role, workflow, environment, and risk level.
- Human approval gates for irreversible or customer-facing actions.
- Rate limits, cost limits, step limits, and timeout controls.
Layer the Controls
No single guardrail is enough. Use layered controls across prompts, schemas, permissions, runtime checks, evals, and monitoring.
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