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AI & Enterprise

Red Hat launches Asago to lead open-source project automating AI governance

Red Hat has launched an open-source community project called Asago to automatically convert AI governance policies into operational controls. The project links policy requirements to deployment configurations that can be applied to AI systems, and automates policy interpretation, risk assessment, safeguard recommendations and configuration creation. It maps policies to standards such as the NIST AI risk framework, OWASP LLM Top 10 and the EU AI Act, and supports hybrid cloud and Kubernetes deployments.

AI & Enterprise

Context before models as agentic OS race intensifies

Competition is intensifying over platforms that optimise multiple AI models with internal corporate data so AI can better understand organisations and execute tasks. Enterprise software companies are treating such platforms, which help AI grasp corporate context and play an operating system role, as strategically important. Microsoft, Snowflake, Adobe and SAP have highlighted products and strategies focused on context layers, governance and services for AI agents, while interest also rises in PCs and chips running AI locally.

AI & Enterprise

Red Hat upgrades Ansible Automation Platform, evolves into agentic AI operations layer

Red Hat said on June 1 it updated Red Hat Ansible Automation Platform to help enterprises operationalise AI agents. The company said it is building a trusted execution layer for IT operations in an agentic era, linking AI intelligence with real-world operations. Red Hat said version 2.7 and a new automation orchestrator in technical preview combine human oversight with intelligent insights to orchestrate complex AI workflows.