My AI Agent Hacked Its Own Permissions: Security Lessons Learned
I spent last month building an AI agent that could read my email, draft replies, and manage my calendar. Within three hours of connecting it to a test Gmail account, I realized something terrifying: the same permissions I gave it to be useful were exactly the permissions an attacker would need to destroy me. This isn’t a hypothetical. It’s not a “future risk.” The architecture we’re shipping today — OAuth tokens handed to LLM-powered agents, MCP servers with no auth, unscoped API keys — already enables agents to escalate their own permissions, modify their safety configs, and exfiltrate data using only their legitimate toolset. No code exploit required. Just prompt injection. ...