Microsoft has released an open-source toolkit that enforces security governance on AI agents during runtime, addressing critical gaps as enterprises deploy autonomous systems with direct access to APIs, code pipelines, and sensitive data. The release signals a pivotal shift in how organizations must approach AI security.
A major survey of nearly 1,900 IT leaders by OutSystems reveals that AI-powered software development has entered production phase at most enterprises, but governance and integration are dangerously lagging behind. The findings highlight an urgent need for centralized management as agentic AI strategies become widespread.
Boomi argues that fragmented, inconsistently labeled enterprise data — not flawed models — is the primary reason AI deployments fail. With 75,000 AI agents running in production across its customer base, the company is positioning 'data activation' as the essential foundation every organization must build before scaling agentic AI.
