How to Secure a Fleet of AI Coding Agents

Software factory security describes how organizations can govern fleets of AI coding agents that write, test, review, and deploy software while humans retain approval authority over sensitive actions. The approach addresses risks such as agents inheriting broad developer credentials, using long-lived tokens, following malicious instructions embedded in tickets or documentation, acting as confused deputies, and producing insufficient audit records. It recommends assigning each agent a distinct identity delegated from a human, enforcing default-deny access policies and external per-call authorization checks, requiring human approval for high-risk actions such as protected merges, production deployments, secret access, production-data queries, and package publishing, and maintaining detailed decision logs for auditing and incident response. The model applies consistent policies across process endpoints, MCP tools, APIs, applications, and data systems, with defense in depth intended to limit the impact of prompt injection or compromised workflows. Permit.io presents its Coding Agents Gateway, MCP Gateway, and authorization platform as tools for implementing these controls, and suggests beginning with an inventory of agents and workflows, piloting policies with one team, monitoring denials and intent drift, and expanding coverage over time.

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