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Data security as a foundation for secure AI adoption
With AI a central component of business operations, security and compliance can't be an afterthought. This whitepaper shows how Copilot for Microsoft 365 combines user-friendly AI features with Microsoft's proven data protection framework. Download the whitepaper to learn how to align security, privacy, and productivity goals with a solution designed for your needs. When you're ready, reach out to Information Technologies LLC to evaluate your next steps with Copilot.
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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.
Data security as a foundation for secure AI adoption
published by Information Technologies LLC
Information Technologies provides and supports Microsoft Business Central and Microsoft Teams. Additionally Information Technologies offers INQUEUE. INQUEUE extracts content from documents, imports the document and content to a database and manages the lifecycle workflow of the document.
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