VALIDATION

Is AI activity evidence defensible?

Defensibility begins with clear evidence handling, reproducible output and honest scope statements.

Evidence handling

Qavryn operates read-only against acquired evidence. No case data is uploaded, and there is no telemetry or outbound network activity during a scan.

Records retain source-linked provenance and a clear UTC timeline for review.

Reproducibility and limits

The same input can be processed again to produce reviewable output. Scope conditions and processing errors are reported rather than silently omitted.

Qavryn reports observed artifacts. Meaning, intent and completeness remain questions for the qualified examiner.

Testing discipline

Internal validation and regression testing are performed against controlled datasets. The aim is reliable, reproducible output and transparent limits—not a claim of certification or a substitute for professional review.

A focused conversation

Bring the AI-evidence question your team needs to answer.

We begin with your acquisition scope, review workflow and required deliverable.

Contact Qavryn →