The Definitive Guide to an AI Governance Framework

AI governance frameworks translate legal mandates into technical policies across the machine learning lifecycle, utilizing AI gateways for runtime enforcement and audit trails. This extends to developer machines via endpoint agents and Model Context Protocol (MCP) servers. Specifically, the Atlassian MCP server connects AI tools to Jira and Confluence using Anthropic's standard. Version 2 offers 220 tools, reducing token consumption by 25%. To mitigate prompt injection and data exfiltration, organizations employ control planes like Bifrost.