AI account security self-check: a monthly method with risk signals
A repeatable monthly security review method for AI accounts, covering recovery email, passwords, active sessions, third-party authorizations, API keys, and billing, with the risk signals that indicate compromise.
An AI account may contain private conversations, work files, payment records, and API access. We recommend a monthly self-check because threats accumulate gradually—a forgotten session on an old device, an unused browser extension, or an API key created months ago that still has spend权限. The method below covers the surfaces that matter.
Step one: protect the recovery email with a unique password and two-step verification, then review its recent login activity and recovery options. Step two: set a different unique password for the AI account and enable two-step verification where supported, storing recovery codes safely. Step three: review active sessions and signed-in devices, signing out of anything unrecognizable. Step four: revoke unused browser extensions, apps, plug-ins, and third-party authorizations.
Step five: review the current plan, renewal date, recent orders, payment methods, data-retention settings, and model-improvement consent. Step six (for developers): audit API keys separately—keys must live in server-side secret storage, never in front-end code, public repositories, screenshots, or shared documents. Use separate keys per project and environment, with budgets and usage alerts. Revoke keys that are no longer used.
Risk signals that warrant immediate action: unknown chats, logins from unfamiliar locations, plan changes you did not make, or unexpected API usage. If anything looks wrong, secure the email, change passwords, end sessions, revoke keys, inspect billing, preserve evidence, and contact official support. The limitation: this method catches accumulated exposure but cannot prevent a real-time attack—you must also enable two-step verification to raise the barrier.