- Einleitung
- Produktlebenszyklus
- Release-Strategie
- Supportbedingungen für den Produktlebenszyklus
- Produktlebenszyklus
- Aktivitätenlebenszyklus
- Versionen ohne Support
- Zeitachse der Einstellung
- Lebenszyklus des LLM-Modells
- Zeitachse für die Einstellung des LLM-Modells
- Orchestrator-Upgradepfade
- Upgrade-Pfade für die Automation Suite
- Classic folders removal
- Nutzung von Kundendaten in UiPath
- Nutzung von Kundendaten mit Agents
- Verwendung von Kundendaten mit dem AI Center
- Nutzung von Kundendaten mit AI Computer Vision
- Nutzung von Kundendaten mit Apps
- Nutzung von Kundendaten mit Assistant
- Nutzung von Kundendaten mit Automatisierung Ops
- Verwendung von Kundendaten mit Automatisierungshub
- Nutzung von Kundendaten mit Autopilot für alle
- Verwendung von Kundendaten mit Cloud-Robotern
- Verwendung von Kundendaten mit Kontextgrundlage
- Verwendung von Kundendaten mit Data Service
- Verwendung von Kundendaten mit Document Understanding™
- Verwendung von Kundendaten mit Healing Agent
- Verwendung von Kundendaten mit Insights
- Verwendung von Kundendaten mit dem Integration Service
- Verwendung von Kundendaten mit IT-Automatisierung
- Nutzung von Kundendaten mit IXP
- Nutzung von Kundendaten mit Orchestrator
- Verwendung von Kundendaten mit Process Mining
- Nutzung von Kundendaten mit Roboter
- Verwendung von Kundendaten mit ScreenPlay
- Nutzung von Kundendaten mit Studio und StudioX
- Nutzung von Kundendaten mit Studio Web
- Verwendung von Kundendaten mit dem Test Manager
- Lizenzierung
- Bereitstellungsoptionen
- UiPath-Plattform
- UiPath-Dokumentation
- Fehlersuche und ‑behebung
Überblick
When customers use UiPath cloud and AI software, UiPath processes different types of data in order to provide you with the software functionalities, to ensure the reliability of the software you use and to improve them so you get better software and services and more efficient automations.
This means that, depending on the software you use, UiPath will process and sometimes store data that you use to design and run your automations. The types of data processed depends on the software you use and the types of data you input. Please check the page regarding customer data usage for each of our software and limit sensitive data input when it is not necessary for the functioning of the services. Avoid using personal data in design time, when you first design your automations/workflows.
Some features, such as generative AI features powered by 3rd party LLMs managed by UiPath, as well as some of the configurations will only be available for Enterprise and Advanced customers, including AI Trust Layer governance functionalities.
Für ein besseres Verständnis der Seiten zur Nutzung von Kundendaten, beachten Sie bitte Folgendes:
- Telemetry or otherwise usage data processed when using cloud and AI software does not contain customer data and is meant to help us fix error, bugs, monitor the health of our products and services, optimize our products for consumption, improve user experience and, functionalities.
- Data processing for service provisioning refers to: product functionality, reliability of outputs, improvement and the prevention or fixing of automation failures. These data are processed so that you can design and deploy your automations, in order to meet our contractual agreements and to make sure that the software works in accordance with the intended functionalities and are constantly upgraded or tailored for you.
- For few of our software we use Customer data to train the models to improve the quality of the outputs you receive and we make sure that we use data filtering, labelling, deletion, and other techniques in order to minimize data usage. Please read in the documentation the purpose and measures implemented by UiPath when model training is performed. To opt out of model training or product improvement for your organization, raise a support ticket with UiPath Support. Some software we have allow you to train your own models. Please be mindful of the fact that neither we nor our AI model providers use Customer Data to train third party models.
Some of our software rely on generative AI features powered by 3rd party LLMs managed by UiPath. Please check in the documentation if such features are available and how you can enable or disable them. All calls made to 3rd party LLMs go through our secure connection which is the AI Trust Layer and which allows you to also set policies regarding the use of AI features in your automation flows.
If you want to know more about the locations available for data storage for your organisation and/or tenant please check our data residency page in the Automation Cloud guide. Make sure to select the desired region during configuration.
Informationen zu unseren Datenschutz- oder Sicherheitsverfahren finden Sie in unserem Trust Portal auf folgender Webseite von UiPath: Trust and Security - Secure your RPA journey | UiPath.
Überprüfen Sie die Legende für die folgende Tabelle:
- ✅: Yes
- ❌: No
- N/A: Not applicable
| UiPath-Produkt | Dienste bereitstellen | Train the UiPath AI models and/or performing product improvement | Integration with third-party LLMs | Available without the third-party LLMs |
| AI Center | ✅ | ❌ | ❌ | Keine Angabe |
| Agent Builder | ✅ | ✅ | ✅ | ❌ |
| Assistant | ✅ | ❌ | ❌ | Keine Angabe |
| Apps | ✅ | ❌ | ✅ | ✅ |
| Automation Hub | ✅ | ❌ | ❌ | Keine Angabe |
| Automation Ops | ✅ | ❌ | ❌ | Keine Angabe |
| Autopilot for Everyone | ✅ | ❌ | ✅¹ | ❌ |
| Cloud Robots
| ✅ | ❌ | ❌ | Keine Angabe |
| IXP | ✅ | ✅ | ✅ | ✅ |
| AI Computer Vision | ✅ | ✅ | ❌ | Keine Angabe |
| Kontextgrundlage | ✅ | ❌ | ✅ | ❌ |
| Data Service | ✅ | ❌ | ❌ | Keine Angabe |
| Document Understanding | ✅ | ✅ | ✅ | ✅ |
| Healing Agent | ✅ | ✅ | ✅ | ✅ |
| Insights | ✅ | ❌ | ❌ | Keine Angabe |
| Integration Service | ✅ | ❌ | ✅ | ✅ |
| IT-Automatisierung | ✅ | ❌ | ❌ | Keine Angabe |
| Maestro | ✅ | ❌ | ✅ | ✅ |
| Orchestrator | ✅ | ❌ | ❌ | Keine Angabe |
| Process Mining | ✅ | ❌ | ✅ | ✅ |
| Robot | ✅ | ❌ | ❌ | Keine Angabe |
| ScreenPlay | ✅ | ❌ | ✅ | ❌ |
| Studio & StudioX | ✅ | ❌ | ✅ | ✅ |
| Studio Web | ✅ | ❌ | ✅ | ✅ |
| Test Manager | ✅ | ❌ | ✅ | ✅ |
¹ use of AI features can be configured in AI Trust Layer, as explained in Settings for AI Trust Layer Policies in the Automation Ops user guide.
Opting out of UiPath fine tuning or product improvement: For products marked ✅ in the Train the UiPath AI models and/or performing product improvement column, your data may be used to fine tune the UiPath AI models and improve UiPath products, including for regression testing. To opt out, raise a support ticket with UiPath Support and request to opt out of fine tuning or product improvement for your organization.