Authorized to Act | Review
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📝 Personal Comments ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Mission Authorization: Why Your AI Agent Shouldn't Have Standing Permissio...

Source: DEV Community
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📝 Personal Comments ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Mission Authorization: Why Your AI Agent Shouldn't Have Standing Permissions Here is an uncomfortable truth about AI agents: they are all over-permissioned, and nobody is checking. When you connect an AI agent to GitHub, you grant it read/write access to repos, issues, pull requests, and sometimes even delete permissions — because the OAuth consent screen makes it easier to click "Allow All" than to think carefully about what the agent actually needs. Then you forget about it. The agent keeps those permissions forever. This is what I call the standing permissions problem, and it is the biggest unaddressed security gap in the agentic AI boom. Standing permissions means an agent has access granted once, broadly, and indefinitely. Mission authorization means an agent earns access for a specific task, scoped to exactly what that task requires, for exactly as long as th