Guardrail Request Lifecycle
Guardrails can evaluate content at multiple stages before and after model processing.Core Building Blocks
Providers
Providers supply detection capabilities. Bud AI Foundry supports Bud Sentinel and cloud moderation providers.Probes
A probe targets a specific risk area (for example, PII, toxicity, jailbreak, or safety categories).Rules
Rules are the detection units within probes. You can often enable/disable or tune behavior per rule.Profiles
A profile is your reusable policy package:- selected probes
- guard type scope
- severity threshold and overrides
- deployment targets
Governance Policies
A governance policy is an agentic workflow policy package. It contains rules that combine checks, lifecycle hooks, outcomes, optional context filters, guidance, and priority. Governance policies are deployed to projects and attached to agent versions.Deployments
Deployment activates the profile or governance policy in runtime paths, either as standalone, attached to an existing endpoint, or made available to agent versions in a project.Guard Types and Evaluation Scope
Severity and Policy Tuning
Higher thresholds generally increase sensitivity and can reduce unsafe leakage, but may increase false positives. Calibrate with real prompts and staged rollout.Execution Patterns
Operational Views in Bud Admin
- Guardrails page: profile discovery, filtering, and creation entry point.
- Guardrail details: General, Probes, and Deployments tabs.
- Project Guardrails tab: project-scoped list with status and management actions.
Governance Policy Rule Anatomy
Governance policies are especially useful when multiple models, tools, data sources, and actions participate in a workflow and each organization needs its own security or compliance rules.