observe

To monitor live system state without altering the target, you need a non-intrusive observation tool that captures the current status and runtime configuration while requiring no mutation to the original environment.

Evidence-backed provenance for system observation is the practice of attaching traceable anchors to timestamped snapshots, ensuring that captured claims regarding files or processes are fully auditable.

You can capture timestamped snapshots of running processes and services by invoking an observation capability that targets the specific aspect, returning structured observation data with confidence scores.

Yes, you can detect configuration drift in real systems by comparing timestamped, non-mutating observations over time, grounding any detected deviations with traceable provenance anchors for auditability.

Non-intrusive observation supports multiple targets including files, processes, services, and general system state, capturing a structured snapshot of each target without modifying the underlying environment.

Read-only observation for state reporting is limited to capturing current conditions and cannot alter, fix, or remediate the target, meaning downstream workflows must handle any necessary mutations.