> For the complete documentation index, see [llms.txt](https://docs.probe.splx.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.probe.splx.ai/updates/product-updates/april-2025.md). # April 2025 ## Report on Target Level In addition to generating reports at the Test Run level, users can now generate Target level reports directly from the [Overview page](/ai-red-teaming/probe/overview-page.md). * Test Run Report: Contains probe results from a single test run. * Target Report: Includes the latest probe results across all test runs, mirroring the data shown on the Overview page. It highlights the overall risk posture and provides the current risk score. ## Microsoft Entra ID Integration Users can now integrate SplxAI Platform with Microsoft Entra ID for authentication and user management. This enables seamless access control and single sign-on. To learn more on how to integrate Microsoft Entra with SplxAI Platform, visit our [Authentication Providers](broken://pages/m7DSJ0Gwd5UUmzjAEIVb#authentication-providers) docs section. ## Email Notifications on Test Run Completion Users can now enable [email notifications](/ai-red-teaming/probe/test-run.md#test-run-notifications) for completed test runs, including scheduled runs. * Notifications can be toggled for each test run and are also configurable at the target level via Target Settings (sets the default value). * When enabled, the user who triggered the test run will receive an email upon successful completion with the test run summary and attached report. ## Improvements & Tweaks * Test cases can now be shared via direct links, making it easy to reference and collaborate. * Users can now duplicate a target from the [Target Settings](/ai-red-teaming/probe/target/target-settings.md) page. The duplicated target can be renamed and assigned to a selected workspace. * Option to delete both individual targets and entire workspaces. Deleting a workspace will also permanently remove all targets within it. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.probe.splx.ai/updates/product-updates/april-2025.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.