Aeon AI Risk Management

Cursor security risks: review what the coding workflow can expose.

AI coding safety depends on the code context, integrations, permissions, account controls, and review boundary in use. Treat code and configuration as sensitive business context until classified otherwise.

Map the code context

Identify repositories, files, tickets, terminals, integrations, logs, and credentials that can reach the tool.

Constrain access and execution

Apply least privilege to repositories, tokens, extensions, and tool calls. Keep protected branches, CI controls, and production credentials outside default assistant reach.

Verify changes before merge

Apply code review, tests, secret scanning, dependency review, and approval boundaries to AI-generated changes before consequential release.