信任基础TRUST FOUNDATION
循星科技以"数据本地化、算法端侧化、决策自治化"为核心原则,确保用户数据安全、可控、不出门。 SidebyStar follows core principles of data localization, edge-side algorithms, and autonomous decision-making to ensure user data remains secure, controlled, and local.
视频流、音频数据、用户行为记录、个人偏好模型等敏感数据默认留在本地。Video streams, audio data, user behavior records, and personal preference models stay local by default.
设备状态摘要、系统健康报告、脱敏统计数据可选择性云端同步,需用户/管理员明确授权。Device status summaries, system health reports, and anonymized statistics can optionally sync to cloud with explicit user/admin authorization.
模型升级包可通过安全通道下载,但本地训练数据不会回传。Model update packages can be downloaded via secure channels, but local training data is never sent back.
视频和音频数据仅在本地设备存储,保存周期可由用户/管理员配置。Video and audio stored only on local devices, retention period configurable by user/admin.
视频/音频回放需通过身份认证与权限校验,支持多级审批。Video/audio playback requires identity verification and permission checks, supporting multi-level approval.
超过保存周期的数据自动清理,不可恢复,确保无历史数据泄露风险。Data beyond retention period is automatically purged and unrecoverable, ensuring no historical data leakage risk.