October 2026 release notes for Agents in Automation Cloud and Test Cloud.

You can now keep validating your agents after they reach production, not only while you build them. Runtime evaluations score a deployed agent against datasets of inputs and expected outputs, on demand or on a recurring schedule, so regressions, accuracy issues, and unexpected behavior surface without a manual testing cycle.

Because the evaluations run against the deployed agent, the results reflect what is in production rather than a design-time copy. Developers, solution architects, and agent quality and governance teams get ongoing visibility into how reliable each agent stays after deployment. Production runs can also become test cases, so your datasets grow with the cases the agent handles.

For details, refer to Managing runtime evaluations (Preview).

Agent review replaces the Agent score. Ask Autopilot to review your agent, or select the Review agent badge. The review finds critical issues, warnings, and improvements, and grades the agent from A to F based on the number and severity of the issues. Autopilot can fix the issues and apply the improvements in the same conversation.

For details, refer to Agent review.

Your agents can now be protected by your organization's own subscription to a supported safety vendor, not only by the UiPath-managed services. Once an administrator brings a subscription into the AI Trust Layer, its guardrails become available to you alongside the UiPath ones, each marked as BYO and showing which provider evaluates it. Azure AI Language, Azure Content Safety, and Noma are the vendors supported during preview.

You choose and configure them as you do the out-of-the-box guardrails, with the same scopes and actions, and every detection appears in the agent trace together with the provider that produced it.

For details, refer to Configuring guardrails and Out-of-the-box guardrails.