Device Monitoring
See Every AI Interaction — Without Reading a Single Prompt
Toktra deploys a lightweight agent on company macOS, Windows, and Linux devices that observes LLM usage across every channel — web chat, desktop apps, API calls, and browser extensions — with no measurable impact on the device. It captures metadata only and never blocks a request, so it lives where AI work actually happens without getting in the way.
Capabilities
Everything Device Agent does for you
macOS device agent
Built in Swift and Rust with a Network Extension that observes LLM traffic by hostname. Captures metadata only — never conversation content — and always permits traffic. Minimal footprint (<2% CPU, <50 MB).
Windows device agent
Shared Rust core with a Windows Filtering Platform (WFP) callout driver, running as a Windows Service. Metadata-only and non-blocking. Deployed via EV-code-signed MSI through Intune or SCCM.
Linux device agent
eBPF socket tracing with a Rust daemon for Linux 5.10+, packaged as deb/rpm with Fleet/osquery support. Same metadata-only, never-block design as macOS and Windows.
Browser coverage
Companion extensions for Chrome, Edge, Safari, and Firefox capture AI usage in the browser, where most knowledge-worker AI happens.
Multi-provider detection
Automatically identifies usage across OpenAI/ChatGPT, Anthropic/Claude, Google Gemini, GitHub Copilot, Perplexity, Mistral, Cohere, and DeepSeek — no manual configuration.
MDM deployment
Silent, zero-touch installation via Jamf, Kandji, Intune, and SCCM, with signed installers, configuration profiles, and force-installed browser-extension policy.
The visibility dial
Run at metadata-only for maximum employee privacy and frictionless rollout. Deeper content-visibility tiers for high-risk teams and IP recovery are on the roadmap.
Built for these scenarios
Who this is for
See Device Agent in action
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