Data Security & AI Readiness Journey

Our Data Security and AI Readiness Journey helps you protect your data and establish the foundation for the secure use of Microsoft Copilot and other AI tools – in compliance with regulatory requirements.

With Microsoft Purview, we identify, classify, and protect sensitive data, enhancing your data security across clouds, applications, and devices. This way, AI becomes a value driver instead of a risk.

Discover your journey with us.

This is how we support you.

Assessments

Know where you stand: Evidence-based security analyses assess your defense landscape, compare it with relevant benchmarks, and translate the insights into a clear, prioritized roadmap.

Enablement

Capabilities and platforms, production-ready. Expert-led enablement programs that specifically develop your teams and implement Microsoft security features or processes based on proven concepts.

Workshops

Structured, moderated sessions that translate central questions into a clear path – prepared in such a way that your team can implement it immediately.

Operations & Trainings

Secure in operation: Managed operations or continuous training that keep defense mechanisms and management processes sharp and your teams permanently ready for action.

Suitable Services.

These challenges are solved by our journey.

The introduction of AI and increasing regulatory pressure raise the requirements for data governance and data protection. Our Data Security & AI Readiness Journey supports you in securing your data landscape and establishing the foundation for the safe and trustworthy use of Microsoft Copilot and other AI tools.

  • You don’t know where sensitive data is located or how it is used. Discover, classify, and protect data to gain transparency and control.
  • Start AI initiatives before governance structures are ready. Align AI projects with responsible data usage and clear governance requirements to reduce risks.
  • Compliance requirements are increasing, but implementation remains unclear. Translate evolving regulatory requirements into concrete and enforceable policies.
  • Data loss and insider risks are difficult to consistently control. Improve protection and security levels with targeted controls and continuous optimization across your entire data landscape.