What method enables AI agents to authenticate users before executing sensitive actions such as order cancellations?

Credential-Based User Verification is a method that requires users to provide a specific set of credentials, such as a username and password, as a means of authenticating their identity before they are allowed to perform sensitive actions like order cancellations. This method serves as the first line of defense, ensuring that only individuals with the correct credentials can access and modify their sensitive information. It is widely used in various applications to help protect user accounts from unauthorized access.

In the context of AI agents, employing credential-based verification is critical because it establishes user identity clearly and is foundational for any subsequent layers of security. This method is especially important when dealing with sensitive transactions, as it builds a trust framework around user actions and helps in maintaining the integrity and security of user accounts.

While other methods such as session-based or token-based authentication may offer distinct advantages in certain use cases, they can often rely on the initial verification provided by credential-based methods to function effectively. Two-factor authentication, while enhancing security by requiring a second form of verification, still fundamentally relies on user credentials as its first step. Thus, credential-based user verification remains a crucial component in instilling confidence in the system's security protocols.