Offline-first dashboard with auto-sync on WiFi connection
Traditional Windows “privacy” tools were built for ads, cookies, and trackers. Sceptrum is built for the AI era — where powerful apps can read your files, watch your screen, and talk to LLMs in the background. On-device, always All analysis happens locally on your machine. We don’t collect, upload, or sell your activity data. Unified visibility Camera, microphone, file, network, and AI calls — all surfaced in one signal feed you can actually understand.
Sceptrum provides unified visibility of camera, microphone, file, and network access in a single readable feed, with all analysis and policy evaluation running locally on-device. Users can set granular permissions and block app access without any telemetry leaving their machine.
Sceptrum includes heuristic detection for rapid file modifications (e.g., encryptor patterns) and can pause processes before harm spreads, providing an early warning layer alongside Windows Defender for ransomware protection.
Sceptrum's AI-aware detection identifies when apps call out to LLM APIs and other model backends, labels each AI endpoint, and lets users set precise rules to limit, block, or allow specific AI traffic—all evaluated locally without cloud involvement.
Sceptrum's offline capabilities let users continue working normally when the network drops; all changes are encrypted locally and queued for sync. When connectivity returns, the app automatically syncs pending edits, notes, and task updates in the background without interruption.
Sceptrum is optimized to use less than 1% CPU and approximately 60 MB RAM, making it suitable for low-end machines and always-on monitoring without noticeable slowdown.