Visibility vs. Control: Managing AI Data Flows at Machine Speed | Sam Harrison, Kiteworks

Sam Harrison, Kiteworks, explains why data visibility alone cannot control AI-driven data flows operating at unprecedented speed.

The Gap:
Organizations assume visibility into data equals control. With AI systems acting autonomously and moving data at machine velocity, this assumption fails. Traditional role-based access controls cannot match AI operational speed.

The Solution:
Kiteworks' data policy engine combines role-based access with attribute-based data classification. Every dataset is tagged with sensitivity levels. Policies deploy based on what data is, not just who accesses it. This approach protects organizations from accidental data leakage regardless of AI speed or operational complexity.

Key Insight: Control requires understanding data, not just access patterns.
Want to learn more about attribute-based data control for AI systems?
Contact: inquiries@amiviz.com

#DataSecurity #AgenticAI #DataGovernance #SecurityPolicy #Kiteworks

Видео Visibility vs. Control: Managing AI Data Flows at Machine Speed | Sam Harrison, Kiteworks канала AmiViz