Memory control is the set of user settings that let you view, edit, or clear retained context in an AI assistant. Instead of treating every conversation as disposable, a memory-enabled system can keep preferences, project details, or other background across sessions. Memory control is the safety layer around that persistence, giving users a way to inspect what was saved and decide what should stay.
In cyber security, memory control matters because stored context can increase both convenience and exposure. If an account is reused, shared, or compromised, retained memory may reveal sensitive personal or work information. Good memory hygiene also helps limit data that could be carried forward by mistake, including stale or misleading context. Defenders use memory controls to review saved items, delete sensitive entries, and disable memory for high-risk tasks. In practice, this is similar to managing stored credentials or browser history: reduce what is kept, and clear anything that should not follow the user into the next session.