assurance

Assurance means the provision and retention of evidence and processes that demonstrate an AI system is safe, lawful and fit for purpose across its lifecycle. It encompasses testing, documentation, monitoring, governance and other practices that give decision‑makers and the public confidence in system behaviour and outcomes.

Processes, testing, governance and documentation across the AI lifecycle required to demonstrate safety, reliability and legal/ethical compliance, including validation, verification, risk assessment and staged sign-offs prior to operational use.

A critical pillar of NSPM-11, Assurance mandates that all adopted AI technologies are designed to be reliable, robust, steerable, and controllable, operating in accordance with applicable laws and government policies, and protected from unauthorized modification or disablement.