How can organizations prepare their data for AI?
Organizations should follow four key steps to prepare their data for AI: know your data by identifying sensitive information, clean up your data by managing permissions and removing obsolete data, protect your data through classification and labeling, and prevent data loss by implementing data loss prevention policies.
What are the risks associated with AI adoption?
Organizations face several risks when adopting AI, including data oversharing, where unauthorized users access sensitive data, data leakage through unsanctioned AI applications, and noncompliant usage that could lead to regulatory violations. Approximately 83% of organizations experience multiple data breaches, highlighting the importance of addressing these risks.
Why choose Copilot for Microsoft 365?
Copilot for Microsoft 365 is a strong choice for AI adoption because it integrates built-in security controls that help prevent data oversharing. It operates within the existing Microsoft 365 framework, ensuring compliance with privacy and security standards while allowing organizations to manage their data effectively. Additionally, it inherits sensitivity labels from existing files, enhancing data protection.