I gave an AI agent a production rollback button — then spent the hackathon trying to trick it into pressing it
dev.to·
This practical security case study explores vulnerabilities in AI agent execution frameworks, specifically focusing on how approval gates operate in TrueForge, an open-source agent harness. In TrueForge, a function enforces whether an AI agent can execute actions on production systems without manual approval by matching tool tags against a permission list. However, if a developer omits a tag definition on a Model Context Protocol (MCP) tool, the approval gate silently disappears, giving the agent unchecked production access. The author demonstrates this risk by tasking an agent with investigating an incident—analyzing symptoms, reviewing deployments and code diffs, sandbox-testing metrics, and computing root cause confidence—while trying to trick it into triggering a production rollback. For developers expanding into AI systems, this highlights the critical necessity of defensive schema design and rigorous authorization checks when handing autonomous agents operational privileges.