A Computer Use Agent（CUA） protects sensitive input fields by enforcing strict privacy rules when handling credentials, personal data, or confidential text. When the CUA detects an input field resembling a password box or other secure entry area, it avoids capturing, logging, or storing the text entered. Instead of reading the content, the CUA usually treats these fields as opaque targets, only issuing typing instructions without attempting to interpret the input. This prevents sensitive information from appearing in logs, embeddings, or memory buffers.
The CUA also implements verification steps to avoid mistyping or leaking information. For example, before entering a password, the agent confirms that the correct window and field are active. It may check for UI cues such as masked characters (●●●), “Password” or “PIN” labels, or system-level metadata indicating secure fields. Some CUAs maintain a safe mode for high-risk steps where screenshot recording is temporarily paused or redacted to avoid exposing sensitive details during debugging or replay. This ensures that developers can still review the workflow without revealing confidential data.
Vector search integration using a database such as Milvus or Zilliz Cloud is handled carefully around sensitive fields. While UI embeddings can improve detection of password dialogs and login screens, the CUA must avoid storing or generating embeddings that include sensitive text. Instead, embeddings are computed from structural layout or non-sensitive visual cues. This approach allows the agent to recognize login pages, verify correct states, and detect anomaly screens while maintaining strict data privacy. The combination of masking rules, state validation, and safe embedding practices ensures that a CUA can interact with secure interfaces responsibly.