Safety and Guardrails

Agent Platform provides multiple safety and governance mechanisms to protect agents from misuse, prevent sensitive data exposure, enforce business rules, and maintain enterprise compliance and auditability.

The platform uses three enforcement layers to control agent behavior:

Enforcement layer	Description	Example
Guardrails	Safety and quality checks applied to agent input and output content.	Blocking abusive language or redacting sensitive information from responses.
Limitations	Reasoning-based guidance enforced through the model. Limitations define how the agent should behave, what it should avoid, and the scope within which it should operate.	Instructing an agent to avoid financial advice or remain within a support domain.
Constraints	Runtime business-rule validations that prevent execution when required conditions aren’t met.	Requiring a customer ID before allowing an order lookup or payment action.

Constraints vs. Guardrails

Constraints and guardrails operate at different layers of agent execution.

Feature	Constraints	Guardrails
Purpose	Enforce business rules	Enforce safety and content policies
Scope	Agent logic and tool execution	LLM input and output content
Evaluation	Runtime data and conditions	Message and response content
Typical usage	Eligibility checks, required inputs	Content moderation, PII detection

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