Web API security

Appropriate AuthN schemes enable producers (APIs or services) to properly identify consumers (clients or calling programs), and to evaluate their access level (AuthZ).

It means sending the user's password over the network in clear text for every single page accessed (unless a secure lower-level protocol, like SSL, is used to encrypt all transactions).

In AI factories, API security is fundamental for protecting data integrity, managing access rights, and preventing malicious exploitation of interconnected systems.

Robust strategies incorporate strong authentication (such as dynamic tokens), fine-grained authorization using policy-based controls, and continuous monitoring to safeguard against threats like data theft, model tampering, and service disruptions.

[6] Ensuring that APIs are visible, tracked, and properly secured at every stage—from data ingestion to inference—helps maintain the integrity of machine learning processes and model outputs.

[7] By aligning security measures with established methods (e.g., token-based or attribute-based access control), organizations can better protect both AI operations and sensitive assets in dynamic, multicloud, and hybrid environments.