AI Glossary
Zero Trust
A security approach based on the principle of never automatically trusting users, devices, or systems.
Zero Trust
Overview
Traditional security models often assumed that users and systems inside an organization’s network could be trusted.
Modern environments have made that assumption increasingly risky.
Cloud services.
Remote work.
Mobile devices.
AI applications.
Third-party integrations.
These changes have led to the adoption of a security approach known as Zero Trust.
Zero Trust is based on a simple principle:
Never trust automatically. Always verify.
A helpful way to think about Zero Trust is airport security.
Even after entering the airport, travelers continue passing through checkpoints and verification processes.
Access is continuously evaluated rather than assumed.
Organizations applying Zero Trust principles verify identities, validate access requests, and continuously monitor activity.
As AI systems gain access to valuable data and business processes, Zero Trust is becoming an important part of AI security strategies.
Why It Matters
Zero Trust helps reduce the risk of unauthorized access to systems and information.
Real-World Example
A company may require users to continuously authenticate before accessing sensitive AI applications.