AI coding agent security: an enterprise deployment checklist

AI coding agent security starts with three questions: what can the agent read, which tools can it use, and which actions can take effect without review? This checklist helps an engineering or security team answer them before broad deployment.

This is general security guidance. It is not a claim that every listed control is part of Rechazo or any one coding agent. Check the current documentation for the products your team uses.

1. Map the agent's access

Write down the repositories, files, terminals, network destinations, credentials, and connected tools available to each agent workflow. Include local extensions, hooks, skills, and MCP servers where the environment supports them.

Start with the task the agent needs to perform. Give it only the files and tools needed for that task. Review additional access separately instead of inheriting broad developer permissions by default. The OWASP AI Agent Security Cheat Sheet recommends minimum tool access and per-tool permission scope.

2. Treat project and fetched content as untrusted

Issue descriptions, pull request comments, repository files, documentation, logs, and tool responses can contain instructions that change an agent's behavior. A familiar repository or approved tool does not make every string it returns trustworthy.

Mark external content as data in the workflow, limit what the agent needs to read, and inspect changes made after it processes outside material. Microsoft's VS Code security guidance and OWASP's Secure Coding with AI guidance describe these risks for AI-assisted development.

3. Put boundaries around execution

Use the isolation and permission controls provided by the coding environment. Where available, restrict filesystem access, limit outbound network access, and use a sandbox for shell commands or local tool servers. Keep permission grants scoped to the smallest useful context and duration.

Sandboxing is one layer. Review its actual boundaries, supported tools, fallback behavior, and network settings in the current product documentation. For example, VS Code documents that its sandbox is not a virtual machine or replacement for endpoint security.

4. Gate high-impact actions

Identify operations that could expose data, alter shared infrastructure, publish changes, spend money, or delete work. Require a person or an independently enforced policy to review those operations before they run. Show the actual command, destination, and arguments so the reviewer can judge the action rather than its label.

Review the resulting code diff before merging or deploying. An approval prompt can reduce accidental actions, but it does not replace authorization checks at the system that performs the action.

5. Protect credentials and records

• Avoid placing long-lived credentials in agent-readable files or conversation context when a narrower credential or secure credential store is available.
• Give each integration only the scope it needs, and rotate credentials through your established process when exposure is suspected.
• Keep security records useful for investigation while avoiding unnecessary copies of full prompts, tool arguments, or sensitive outputs.
• Decide who can read agent logs, how long they are retained, and how sensitive fields are removed.

OWASP's MCP security guidance recommends scoped credentials, validation, and careful handling of tool records. Its logging guidance cautions against logging complete prompt and tool input/output when less sensitive event details will support the investigation.

6. Test the boundaries before rollout

Use a test repository, synthetic credentials, and harmless tool substitutes. Check whether the agent can reach files, hosts, and operations outside the intended scope. Verify that denied actions actually fail at the execution boundary and that expected events appear in the record.

Repeat the review when the agent, extension, hook, MCP server, permission mode, or policy changes. Record the environment and configuration used so a later reviewer can reproduce the result.

Deployment review

• Name an owner for each coding-agent workflow.
• Inventory its tools, extensions, MCP servers, credentials, filesystem scope, and network access.
• Set the minimum practical permissions for the task.
• Use isolation and network restrictions where the environment supports them.
• Require meaningful review for actions with external or destructive effects.
• Keep credentials out of unnecessary context and logs.
• Test allow, deny, and failure behavior with synthetic data.
• Recheck the setup after material configuration or dependency changes.

Sources

• OWASP AI Agent Security Cheat Sheet
• OWASP Secure Coding with AI Cheat Sheet
• Microsoft: Secure AI-assisted development in VS Code
• OWASP MCP Security Cheat Sheet
• OWASP Logging Vocabulary Cheat Sheet

Sources reviewed 25 October 2026. Product controls change; verify the current configuration for your environment before relying on it.