How to Configure Guardrails in Oracle AI Data Platform @Oracle
How to Configure Guardrails in Oracle AI Data Platform  @Oracle
Uploaded August 2026 | Updated September 2026, 3 weeks ago
Oracle AI Data Platform Guardrails help enforce AI safety policies by evaluating requests and responses for content moderation, prompt injection, and personally identifiable information protection. Configure and validate guardrails to help protect AI agent interactions and maintain visibility into policy enforcement with additional Oracle AI Data Platform resources linked below.

In this tutorial, learn how to configure Guardrails in Oracle AI Data Platform to help enforce safety policies across AI agent interactions. Guardrails evaluate requests before they reach an agent and evaluate generated responses before returning information, helping organizations apply consistent protections throughout an AI conversation.

The tutorial shows how to add a Guardrails node between a chat trigger and an agent, then configure content moderation to identify and block material that does not meet organizational communication standards. It also covers prompt injection detection, which can block attempts to manipulate an agent into ignoring its intended instructions before those requests reach the agent. Oracle AI Data Platform also supports personally identifiable information protection, with options to detect names, addresses, telephone numbers, and email addresses and independently allow, inform, mask, or block those values for requests and responses.

The tutorial concludes by validating the configured Guardrails in the Playground with a prompt injection attempt and reviewing the traces view to confirm that the Guardrails node intercepts the request before it reaches the agent. This workflow helps organizations apply AI safety policies while maintaining visibility into how those policies evaluate agent interactions.


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How to Configure Guardrails in Oracle AI Data Platform

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