An open-source framework automates governance tasks for artificial intelligence systems, helping organisations enforce policies, monitor compliance, and manage AI operations at scale.
Red Hat has introduced Asago, an open-source project designed to automate governance for enterprise artificial intelligence deployments. The framework aims to simplify the implementation of governance policies by integrating policy enforcement, compliance checks, and operational workflows into AI development and deployment processes.
Asago provides a common framework for creating and managing governance policies for AI systems. Instead of relying on manual reviews, an organisation can automate policy validation and compliance monitoring at all stages of the AI system life cycle. The framework will help reduce the effort required to manage AI systems and make the process more transparent and accountable.
The framework is designed to integrate with existing enterprise AI infrastructure instead of replacing it. It offers automation capabilities for governance processes which can be tailored to an organisation’s requirements.
As an open-source project, Asago provides developers with the opportunity to analyse, customise, and extend the source code according to their governance requirements. This project also invites contributions from the community that will enable organizations to add further integration and automation features to meet their requirements.
As AI systems become increasingly autonomous and subject to stricter governance requirements, projects such as Asago demonstrate the use of open-source software to facilitate governance for organisations across hybrid and multi-cloud environments.
