5 articles
GitHub's new model policy targeting lets enterprise admins set a baseline of Copilot models for the whole company, then grant extra models to specific teams. How the preview works, the least-restrictive evaluation rule, and what it changes for AI governance.
OpenAI's workplace agent data points to a practical shift: non-developers are starting to use agents for real work, so engineering teams need paved paths, policy, and receipts.
The Linux Foundation's Agent Name Service proposal points at a real gap in AI agent infrastructure: agents need verifiable identity, scoped capabilities, revocation, and audit trails before they can safely act across tools.
MCP's new enterprise-managed authorization flow is not just less login friction. It moves agent tool access into identity, policy, and audit systems enterprises already understand.
Claude Platform on AWS matters because it moves agent adoption into identity, billing, commitments, and platform controls. That is where enterprise AI work gets real.
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