AI-driven data classification and labeling technology enables enterprises to automatically identify, tag, and categorize internal data, ensuring that sensitive information receives the appropriate level of protection. By leveraging machine learning and behavioral analysis, AI enhances the distinction between confidential, internal, and public data, dynamically adjusting classification labels based on business needs.

When integrated with Risk-Adaptive Protection (RAP), the system conducts real-time risk assessments based on user behavior, automatically adjusting access permissions and security policies as needed. If anomalous activities are detected, protective measures are reinforced instantly.

This intelligent security mechanism not only enhances data management efficiency but also ensures that enterprises maintain a robust data security posture in an ever-evolving digital landscape.