AI Security Assessment Workflow Explained

A structured AI security assessment workflow helps organizations identify risks across the entire AI lifecycle. The process includes defining the scope, mapping data flows, conducting AI threat modeling, validating security controls, and performing adversarial testing. Continuous monitoring, risk prioritization, and retesting ensure AI systems remain secure. This approach helps enterprises deploy AI technologies responsibly while reducing operational, security, and compliance risks.