Introduction
In an age where artificial intelligence (AI) is increasingly being integrated into business processes, ensuring data security becomes a complex task.
Imagine this scenario: The adoption of generative AI technologies brought about improvements in efficiency and productivity. With these advancements, there's a growing concern about how to protect sensitive information that AI systems process and handle. Ensuring data security and addressing privacy issues are now more important than ever. How do you safeguard this data effectively? What strategies can be used to mitigate risks associated with generative AI?
In this module, you learn how to navigate these challenges by using Microsoft Purview. These solutions help your organization govern, protect, and manage data, wherever it lives. You learn about effective strategies to oversee, protect, and manage your data in an AI-enhanced environment.
Learning objectives
Upon completion of this module, you should be able to:
- Apply sensitivity labels in Microsoft 365 Copilot for data security.
- Protect data from AI threats using DLP strategies.
- Detect AI usage risks with Insider Risk Management.
- Implement Adaptive Protection against evolving AI threats.
Prerequisites
- Basic understanding of sensitivity labels in Microsoft Purview
- Fundamental knowledge of data loss prevention (DLP) in Microsoft Purview
- An understanding of insider risk management (IRM) in Microsoft Purview
- Familiarity with Adaptive Protection in Microsoft Purview