Download our free whitepaper and discover how to make your organization Copilot‑ready in 6 practical steps, secure, compliant, and without unnecessary risk.

Does this sound familiar?

• • Data security under pressure
    You want to innovate with AI, but you’re concerned about data leaks and unauthorized access to sensitive information.
    

• • Compliance uncertainty
    Does Copilot comply with NIS2, GDPR, and BIO2? You don’t want to risk fines, failed audits, or regulatory exposure.

• • The Shadow AI problem
    60% of employees use AI tools outside IT visibility, even when it’s officially prohibited.

If you’re a CISO, CTO, or compliance officer at a mid‑sized organization (250–1,000 employees), you’re facing a familiar dilemma:

AI tools like Microsoft Copilot promise major productivity gains, but they also introduce new security and compliance risks.

Chances are, you don’t yet have a formal AI policy in place, data classification isn’t fully implemented, and outdated access rights are causing oversharing. Meanwhile, employees are already using AI tools, with or without your approval.

The question is no longer if you will adopt AI, but how to roll it out securely and compliantly.

What will this whitepaper give you?

A proven roadmap to Copilot Readiness

This whitepaper provides a practical 6‑step roadmap to deploy Microsoft Copilot safely, without waiting months for everything to be “perfect”.

You’ll get clear answers to critical questions such as:

• How do I protect sensitive data without blocking employees from doing their jobs?
• What are the minimum technical controls needed to remain compliant with NIS2, GDPR, and BIO2?
• How do I address Shadow AI before it becomes a security incident?
• Do I need to classify all historical data first, or can I start today?
• Which Microsoft tools do I already have (with my E5 license) to tackle this?

Insight into the 5 biggest challenges

The whitepaper highlights the five most common risks organizations face when adopting AI:

• No AI policy - employees don’t know what is allowed and what isn’t
• Lack of data classification - sensitive data may be unintentionally exposed via Copilot
• Oversharing - excessive access rights increase the risk of data breaches
• Legacy data - pollutes Copilot results and creates compliance risks
• Shadow AI - unauthorized AI tools operating outside IT oversight

Concrete actions you can take today

No theory, only practical, immediately actionable guidance based on real‑world experience, including:

• How to approach data classification step by step (new data first, legacy data later)
• Which SharePoint sites to exclude from Copilot indexing until classification is complete
• How to configure Data Loss Prevention (DLP) to block BSNs and other sensitive data
• How to train employees in safe and effective prompting

"Practical Secure AI: How to Make Your Organization Copilot Ready"

whitepaper

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