Lei Geral de Proteção de Dados

A record of processing is only as good as the layer producing it. Real-time SQL auditing captures every statement against the data — the identity, the session, the client, the objects touched, the outcome — with no nightly batch window where activity goes unrecorded. Classification is what makes that a record of *regulated* data rather than a log of everything: it tells you which tables are in scope, so the register describes the processing you actually have to declare. Policy templates then produce it in the shape the framework asks for, instead of leaving you to assemble it from raw logs the week before an inspection.

Continuous scanning checks each engine and version against known CVEs, missing patches, end-of-life versions, and hardening benchmarks, and extends to the network: exposed listeners, unexpected reachability, weak TLS, and drift from the documented baseline. Findings rank by exploitability and by the classification of the data at risk, so the same CVE sits differently in the queue on classified data than on a development copy — and the scan history is the evidence that the control operated continuously rather than quarterly.

Findings route by severity to Slack, Teams, email, PagerDuty, or your SIEM, and escalate automatically when nobody acknowledges them and again when nobody resolves them. Every alert arrives with the query, the identity, and the data classification already attached, so the response starts with context rather than with an investigation. The acknowledge-to-resolve history is retained, which is what evidences that the procedure was followed. Your ticketing system stays where it is — what this produces is a finding worth opening a ticket for.

Discovery locates every column holding a subject's data across every connected store, and the access history for that subject is reportable in minutes rather than reconstructed from tickets. The deletion or correction itself is executed by your application or your DBA — what the platform produces is the evidence of where the data was, who touched it, and that the change happened.