Data protection & secure digitalisation

Use data deliberately.
Set clear technical boundaries.

DAXS implements agreed legal and operational requirements in technology: from forms and access rights to cloud services, integrations and AI tools. The central question is which system may use which data for which purpose.

Clear responsibilities

Data protection is not a single product setting.

Legal and data-protection advisors establish the applicable requirements. The organisation decides on purposes, workflows and approvals. DAXS translates those requirements into technical configuration, roles, data flows, logging and secure operating processes.

Important: DAXS does not replace legal advice. Technical implementation is documented so it can be coordinated with data protection officers, legal advisers and the responsible teams.

Services

From requirements to day-to-day operation.

Map data flows

Make sources, recipients, integrations, storage locations and access visible across forms, email, files, CRM, ERP and other business systems.

Implement access rules

Configure users, roles, sharing, MFA and administrative responsibilities to match the actual workflow.

Secure forms

Consider necessary required fields, TLS, secure uploads, permitted file types, spam protection, recipients, logging and retention together.

Review cloud and SaaS

Define which data may enter Microsoft 365, Google Workspace, business applications or other services and how it can be recovered or removed.

Use AI in a controlled way

For Copilot, Gemini, OpenAI/ChatGPT services or API integrations, clarify per process which content may be processed, retained or excluded.

Operate the lifecycle

Connect retention, deletion, backup, recovery, logging and recurring controls in the technical design.

Data approval

A clear decision comes before configuration.

System access is not appropriate simply because it is technically possible. Purpose, data type, sensitivity and agreed requirements determine whether data is allowed, limited or excluded.

Data approval workflow from data source, purpose, data type and requirements through technical approval to target system, retention, deletion and control

Web forms

Consent is not automatically the right answer.

An extra checkbox does not automatically make a data process compliant. Purpose, necessary fields, legal basis and recipients must be established first. Only then can the required notice or consent be determined.

DAXS implements the agreed workflow and considers uploads, file formats, transport encryption, logs, deletion periods and spam protection.

Related topics

Connected, but kept distinct.

Data protection

Requirements, purposes and permitted processing.

IT security

Protection of systems, identities and access.

Backup

Data protection and tested recovery.

AI governance

Approval, use and control of specific AI processes.

Which data may go where?

We capture the technical baseline, map data flows and implement agreed requirements in a traceable way.

Discuss secure digitalisation