A large financial services organization is integrating a third-party AI solution into its critical fraud...

AAISM emphasizes supplier assurance through contractual obligations as the foundational control for AI supply chain risk. Contracts should require verifiable evidence of secure development practices (e.g., secure SDLC, model and data provenance documentation, SBOM/MBOM where applicable, vulnerability disclosure, patch SLAs, audit rights, incident notification, and regulatory compliance assertions). This creates enforceable, continuous assurance beyond point-in-time tests.

• A is necessary but reactive and limited to your environment.

• B addresses performance, not supply chain security.

• D is a good isolation/validation practice but does not create vendor accountability across the lifecycle.