Mitigate AI Risk with Data-Centric Security

Effectively minimize AI risk and build security by design within the data lifecycle to safely and responsibly adopt AI. 

Download our AI security and risk management datasheet and learn how to take a data-centric approach to help you:

• Automatically find, label, and tag data to enhance the effectiveness of generative AI models.
• Build AI policies to manage data usage and enforce policy violations.
• Prepare data for AI to ensure it does not contain confidential or sensitive information.
• Control what data can be shared, by whom, and to which LLMs or AI apps.
• Adopt AI across the organization with a risk-based, data-centric approach.