How can Zero Trust help manage AI security risk?
A Zero Trust approach is required to effectively manage security risks related to AI. Classic network perimeter-centric approaches are built on more than 20-year-old assumptions of a static technology environment and are not agile enough to keep up with the rapidly evolving security requirements of AI.
The following key elements of Zero Trust security enable you to manage AI risk:
- Data centricity: AI has dramatically elevated the importance of data security and AI requires a data-centric approach that can secure data throughout its life cycle in any location.
Zero Trust provides this data-centric approach and the playbooks in this series guide the roles in your organizations through this implementation.
- Coordinated management of continuous dynamic risk: Like modern cybersecurity attacks, AI continuously disrupts core assumptions of business, technical, and security processes. This requires coordinated management of a complex...
