Can Siberson Veriket Data Discovery be tuned to reduce false positives?
Yes — and tuning is a first-class capability, not an afterthought. The console includes a feedback loop where analysts mark findings as False Positive, Confirmed Sensitive, or Accepted Risk; the engine learns from this feedback in three ways:
-
Per-rule precision metrics that surface the rules generating the most noise.
-
Suggestion-driven exclusion lists (e.g., known test-data files, public-sample datasets).
-
Per-AI-classifier retraining batches when a configurable feedback threshold is reached.
| Production Reality In real-world deployments, Siberson Veriket Data Discovery typically reaches >90% precision within the first 4–6 weeks of operation through a combination of out-of-box rules, regional keyword packs, and analyst-driven tuning. |
|---|
Last updated: 2026-04-29