Zero-Shot Learning

Zero Trust Architecture is a security framework that assumes no user or system inside or outside the network is inherently trustworthy. It enforces strict identity verification, continuous monitoring, and least-privilege access principles, ensuring that every access request is authenticated and authorized regardless of location. This minimizes attack surface, reduces potential breach risks, and enhances overall security in AI infrastructure environments.