AI governance

Strengthen governance and uphold the integrity of generative AI interactions and events within automations through robust monitoring and audit with AI governance.
Nota: Generative AI models can produce errors and/or misrepresent the information they generate. It is advisable to verify the accuracy, reliability, and completeness of the content generated by the AI model.

Overview

Nota: This offering requires the Enterprise Platform license. For information about supported version for this feature, see Enterprise Platform.

AI governance is offered as a platform capability in the AI Agent Studio product suite. This is designed to provide you with administrator tools offering a secure use of AI, govern access to the foundational models, and monitor and audit capability when executing generative AI-powered automations.

AI governance provides audit information when users use foundational models in their automations. Users with appropriate permissions can view the audit summary and detailed information. The Control Room enables customers to manage their data logging preferences, control access to view the logs, and secure sensitive data through encryption.

The following video gives you an overview of AI governance with a focus on the value offering:

The following capabilities are supported in AI governance:
  • Role-based access controls (RBAC) to manage user access via permissions to manage data logging and view AI-interaction logs and details.
  • AI prompt log consolidated display of foundational model interactions occurring within an automation execution.
  • Event log to track all generative AI events occurring during interactions with the foundational models.
  • Search and Export items to CSV to export and forward log records to their supported Security information and event management (SIEM) platforms.

The following image shows an overview of the AI governance workflow:

AI governanceworkflow

Benefits

Empower responsible AI-use with built-in guardrails for security with AI governance:
  • Compliance management: Stay compliant with upcoming AI regulations and framework. Monitor logs to proactively detect risks of sensitive data exposure and prompt use as per best practices. Prompt data and credentials for authorized access to models is stored securely using industry-standard encryption algorithms.
  • Monitor and audit: Audit and monitor model interaction usage within automation executions to ensure compliance of governance policies. Track model interactions in automations to ensure proper usage and performance of models.
  • Security guardrails: Manage stronger security for Model connections and prompt data with role-based access control to approved models. All connections to approved models is managed centrally that would be used within automations.
  • Usage insights: Get insights into prompt usage and generative AI models used within automations.
  • View and track log details: View session interactions and their corresponding event details in AI prompt log and Event log tabs.
  • AI governance analytics: Track, monitor, and govern the use of generative AI during the creation and execution of automations with a unified view of the aggregated data that is consolidated into a visual representation with AI governance dashboard.
  • Code analysis rule: Ensure responsible and compliant use of AI with the AI governance code analysis rule that lets you monitor and enforce your AI-use policy via notifications for immediate remediation.

Availability

An Enterprise Platform license is required to use the AI governance capability for AI Agent Studio.

For information about supported version for this feature, see Enterprise Platform