AI is transforming how organizations create, manage, and use data. Powerful additions to enterprise IT environments include generative AI (GenAI) tools such as ChatGPT and enterprise copilots. Workers might also use shadow AI tools that haven't been vetted or approved by IT teams. What's more, the rapid emergence of AI agents is giving rise to a new agentic workspace where both humans and agents interact with sensitive data.

In this complex new environment, unsecure or ungoverned AI use can easily expose sensitive information. According to IBM, the average cost of a data breach neared $4.5 million in 2025. And regulatory consequences continue to grow. Organizations must proactively prevent AI-driven data loss before it leads to a costly and damaging business crisis.

Securing and Governing Data for AI gives you the insights and strategies you need to stay ahead.

In our guide, you’ll discover:

• The top data security risks introduced by GenAI, enterprise copilots and agentic AI
• How weak AI security governance opens the door to AI-driven data loss
• A framework for robust AI security governance, including roles, policies and technology-driven enforcement
• Practical techniques to secure both AI applications and the data they use

Download the guide now and start building a resilient foundation for AI adoption.