UiPath AI Trust Layer: A New Era of Responsible AI-Powered Automation 🚀
The rise of Generative AI has transformed the way businesses operate, offering unprecedented opportunities for automation and innovation. However, with great power comes great responsibility. Enter the UiPath AI Trust Layer—a groundbreaking framework designed to ensure that AI-powered automation is not only efficient but also secure, transparent, and ethical. 🌐
UiPath recognizes these concerns and has implemented stringent policies to ensure customer data is handled with the utmost care.
Why the UiPath AI Trust Layer Matters 🤔
Generative AI has opened doors to countless possibilities, but it has also raised critical concerns:
- Data Privacy: Where is my data being sent, and how is it being used?
- Security: Is my sensitive information protected?
- Compliance: Are my processes aligned with regulatory standards?
- Transparency: Can I trust the AI models driving my automation?
The UiPath AI Trust Layer addresses these concerns head-on, providing a robust governance framework that ensures your data remains secure, your processes compliant, and your AI models reliable. 🔒
Key Features of the UiPath AI Trust Layer ✨
- Generative AI Feature Controls: Administrators can manage access to Generative AI features at both organizational and tenant levels, with default opt-out policies for third-party model training14.
- PII & Sensitive Data Filtering: Personally identifiable information (PII) is masked and encrypted, ensuring it is never used to train third-party models
- Usage Auditing & Cost Control: Gain visibility into AI usage and costs, enabling better resource management and budgeting.
- LLM Gateway: A secure proxy service ensures all data sent to third-party models is confidential and adheres to strict governance policies.
- Context Grounding: Manage and monitor the data used as context for AI models, ensuring accuracy and relevance.
How the UiPath AI Trust Layer Empowers You 💪
- For Developers: Build automations faster with AI-powered tools like UiPath Autopilot™ for Studio, while maintaining full control over data and compliance.
- For Business Users: Leverage AI to automate tasks, analyze data, and make informed decisions—all within a secure and governed environment.
- For Administrators: Monitor AI usage, enforce policies, and ensure compliance across your organization with intuitive dashboards and audit tools.
👉 Introducing the UiPath AI Trust Layer
The UiPath AI Trust Layer is a powerful administrative tool designed to provide enterprises with unparalleled control and oversight over Generative AI (GenAI) features and third-party AI models integrated into the UiPath ecosystem. Its primary purpose is to ensure data confidentiality, security, and compliance while enabling organizations to harness the full potential of AI-powered automation.
This guide explores the key functionalities of the AI Trust Layer, its settings, and how it empowers administrators to govern AI usage effectively across UiPath products.
👉 What is the UiPath AI Trust Layer?
The AI Trust Layer acts as a centralized administrative panel for managing and governing GenAI features and agents across all UiPath products. It ensures that your data remains secure and confidential, never leaving the UiPath environment or being used to train third-party models. With its robust governance capabilities, the AI Trust Layer enables organizations to:
- Control AI usage: Enable or disable GenAI features at the product, tenant, group, or user level.
- Monitor AI operations: Gain visibility into AI model usage, costs, and performance.
- Ensure compliance: Enforce data privacy and security policies across all AI interactions.
👉 Details on Key Features of the AI Trust Layer
The AI Trust Layer provides a comprehensive suite of tools to manage and govern AI usage. Here’s a breakdown of its core functionalities:
1. Settings for AI Trust Layer Policies
The Settings tab allows administrators to define and enforce policies for third-party AI models used across UiPath products. Key settings include:
- Enable calls to third-party AI models: By default, this option is enabled. Disabling it restricts all third-party GenAI model calls, except for Communications Mining™, which requires product-level configuration.
- Product-specific toggles: Administrators can enable or disable GenAI features for specific UiPath products, such as:
- Apps: Disable automatic app generation from prompts.
- Autopilot for Everyone: Block conversations with Autopilot.
- Document Understanding: Turn off generative annotation and automatic classification.
- Studio and Studio Web: Disable Autopilot™ for developers.
- Test Manager: Prevent AI-powered test case generation and insights.
- UIAutomation: Disable activities like Close Popup, Extract Form Data, and Fill Form.
- UiPath GenAI Activities: Block calls to third-party AI models initiated by GenAI activities.
Note: Policy changes take effect after a one-hour cache period.
2. Context Grounding
The Context Grounding tab allows administrators to create and manage data indexes used by UiPath GenAI features and agents. This ensures that AI models are grounded in relevant, organization-specific data, improving accuracy and relevance.
3. Audit
The Audit tab provides a detailed oversight of all AI model-related operations. Administrators can track inputs, outputs, and usage patterns to ensure compliance with organizational policies.
4. Usage Summary
The Usage Summary tab offers a clear picture of AI utilization across the organization. It provides insights into costs, usage distribution, and performance metrics for both UiPath-managed and connected AI models.
5. Autopilot for Everyone
This tab allows administrators to manage the usage of Autopilot for Everyone, a feature that enables business users to interact with AI-powered automation tools. Administrators can enable or disable this feature based on organizational needs.
💪 Managing AI Trust Layer Policies and Ensuring Governance in UiPath
1. Managing AI Trust Layer Policies
The Settings tab on the AI Trust Layer page is your central hub for managing policies that control access to generative AI features. Here’s how you can ensure proper governance:
- Policy Overview: View all active policies and their statuses. Select a policy to navigate to Automation Ops™ > Governance, where you can review and modify policy details.
- Manage Deployments: Redirect to Automation Ops™ > Governance > Deployment to review and manage policy deployments at the tenant level.
These features help you maintain control over AI usage across your organization, ensuring compliance with internal and external regulations.
Stay tuned for more insights and updates on how UiPath is shaping the future of AI-powered automation. Follow us on social media and subscribe to our blog for the latest news!