Find personal data. Understand its purpose. Build a reviewed inventory.
AquaConsento Data Discovery helps your team locate personal data in supported databases and files, review classifications with supporting evidence, and map findings to business purposes and consent coverage.
See the product workflow and discuss supported sources, deployment and next steps.
Personal data can be distributed across systems, files and business teams. AquaConsento brings discovered fields, their processing context and review decisions into a structured workflow.
See which personal-data fields were identified and where they were found.
Inspect the evidence, confirm findings and correct classifications.
Connect reviewed data to its business use and available consent evidence.
Promote approved findings into managed records and identify what still needs attention.
Start with the databases and files in your discovery scope. Confirm available connectors and the access requirements for your environment with our team.
Connect. Scan. Understand.
Record systems that are not directly scannable, including their owner and business context. Manual registration adds them to the source register; it does not automatically scan their contents.
Understand how discovery accesses your sources, handles evidence and limits exposure before connecting your environment.
Inspect structure and metadata first wherever sufficient for discovery.
Use bounded sampling only where additional classification evidence is required and appropriately configured.
Provide useful evidence to reviewers without unnecessarily displaying complete source records.
Protect connector credentials rather than exposing saved secrets through the application.
Discovery connections are configured with the minimum access necessary for the approved discovery scope.
Sources, scans, findings, mappings and discovery evidence remain scoped to the appropriate organisation.
Maintain context around scanning, classification, review and mapping decisions.
01 — Connect your data sources
Register the databases, files and systems that form part of your discovery scope.
Capture each source’s environment, business owner and purpose while maintaining controlled access to connection credentials.
Register and manage enterprise data sources from one controlled discovery workspace.AquaConsento identifies candidate personal-data fields using available metadata, formats and configured detection rules. Your team can inspect the supporting evidence, confirm the classification or correct it before the finding becomes an approved record.
Findings can include categories such as:
Every finding is designed to provide context rather than simply generate another alert.
What was discovered?
Where was it found?
How was it classified?
How confident is the classification?
What evidence supports it?
A discovery scanner should not automatically become your organisation's compliance truth.
AquaConsento treats discovered classifications as evidence-backed candidate findings.
Automation identifies candidates. Your team controls what becomes an approved privacy record.
Scan your data estate to find sensitive information & reduce risks.
Run metadata only discovery on a controlled cadence, compare each successful scan with its prior baseline.
Automatically discover, classify, and review personal data across your enterprise.
Automate data discovery, map relations, and connect to processing purpose and consent evidence.
Discover your data, check it against declared purposes and consent context, and close the gaps automatically.
Connect a reviewed finding with the data element it represents, the team responsible for it and the purpose for which it is processed.
Bring source, ownership, purpose and relevant consent-template information into a structured view that your privacy and technology teams can review together.
This turns technical discovery into actionable privacy intelligence.
Promote reviewed and approved findings into AquaConsento's managed inventory, with their source, mapped data element and supporting review context. Keep automatically discovered candidates separate from approved records, while making outstanding gaps visible to the teams responsible for them.
Use the governed inventory to keep outstanding classification, mapping, ownership and evidence work visible.
Use the first discussion to establish technical fit and the scope of a meaningful evaluation—not just to watch a generic presentation.
Discuss the databases, files and business systems you need to assess.
Review connection requirements, discovery scope, sampling and evidence controls.
See how a finding is discovered, reviewed, mapped and approved.
Discuss deployment, implementation responsibilities and the appropriate commercial scope.
