Microsoft Data Security as a Foundation for Secure AI Adoption

As generative AI transforms the workplace, driving productivity and creativity to new heights, it also introduces a wave of data security challenges. Successfully navigating this evolving landscape requires not only adopting AI but also ensuring it doesn’t open the door to security vulnerabilities.

According to Microsoft’s latest AI whitepaper, Data Security as a Foundation for Secure AI Adoption, there are four critical steps to get your data AI-ready: knowing, governing, protecting, and preventing data loss.

As users rush to adopt AI apps and processes, employees are unwittingly sharing sensitive data, such as customer personal information, to AI applications which is a privacy risk.

As businesses delve further into the AI era, the need for clear data visibility and protection becomes critical. Many organisations struggle to locate and secure their sensitive data, with 83% experiencing multiple breaches and over 80% of leaders citing data leakage as a major concern.

However, with solutions like Microsoft Copilot, organisations can harness the transformative power of AI while staying protected against evolving risks.

Download the report and discover:

• Strategies to protect your sensitive information
• Steps to implement safe AI solutions like Microsoft Copilot
• Best practices for ensuring compliance with regulations
• Strategies to prevent data oversharing, data leakage, and non-compliant usage
• The four essential steps to prepare your data for secure AI deployment